Total 786 Information Technology job vacancies

Data Pipeline Development & Operations
• Design, build, and operate scalable and reliable data pipelines on the Databricks platform
• Develop end-to-end data workflows from ingestion through transformation to consumption
• Implement robust error handling, monitoring, and alerting mechanisms
• Ensure data pipeline reliability, performance, and maintainability
• Optimize pipeline performance through efficient Spark job design and cluster configuration
• Manage and orchestrate complex data workflows using Databricks Jobs and workflows

Legacy Code Modernization
• Refactor legacy code and data pipelines to PySpark for improved performance and scalability
• Migrate traditional ETL processes to modern ELT patterns on Databricks
• Assess existing codebases and identify opportunities for optimization and modernization
• Ensure backward compatibility and data integrity during migration processes
• Document refactoring approaches and create migration playbooks
• Collaborate with stakeholders to minimize disruption during code transitions

Data Engineering Excellence
• Implement data quality checks and validation frameworks
• Design and maintain Delta Lake tables with appropriate optimization strategies
• Develop reusable code libraries and frameworks for common data engineering tasks
• Follow software engineering best practices including version control, testing, and CI/CD
• Participate in code reviews and provide constructive feedback to team members
• Troubleshoot and resolve data pipeline issues in production environments

Collaboration & Knowledge Sharing
• Work closely with data architects, analysts, and business stakeholders
• Collaborate with Infrastructure (Infra), Applications (Apps), and Cyber teams
• Share knowledge and best practices with Team NCS
• Mentor junior data engineers on PySpark and Databricks technologies
• Document technical solutions and maintain comprehensive documentation

Essential Technical Skills
• Data Engineering: Strong foundation in data engineering principles, ETL/ELT processes, and data pipeline design patterns
• PySpark: Proven hands-on experience developing data pipelines using PySpark, including DataFrames API, Spark SQL, and performance optimization
• Databricks Platform: Practical experience with Databricks workspace, cluster management, notebooks, and job orchestration
• Workspace AI Agent: Knowledge of Databricks Workspace AI Agent capabilities and integration
• Data Modelling: Experience implementing data models including dimensional modelling, data vault, or lakehouse architectures
• Delta Lake: Understanding of Delta Lake features including ACID transactions, schema evolution, and optimization techniques
• Python: Strong Python programming skills for data processing and automation

Additional Technical Skills
• SQL proficiency for data querying and transformation
• Experience with cloud platforms (Azure, AWS, or GCP)
• Understanding of data governance and security best practices
• Knowledge of streaming data processing (Structured Streaming)
• Familiarity with DevOps practices and CI/CD pipelines
• Experience with version control systems (Git)
• Understanding of data quality frameworks and testing methodologies

Professional Experience
• Minimum 8 years in data engineering or related roles
• At least 2-3 years of hands-on experience with Databricks platform
• Proven track record of refactoring legacy code to modern frameworks
• Experience building and maintaining production data pipelines at scale
• Background working across multiple data sources and formats
• Experience in agile development environments

Required Certifications – mandatory to have at least one
• Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional

Additional Certifications (Preferred)
• Databricks Certified Associate Developer for Apache Spark
• Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer)
• Relevant data engineering or big data certifications

Soft Skills
• Strong problem-solving and analytical thinking abilities
• Excellent communication skills to explain technical concepts clearly
• Ability to work collaboratively in cross-functional teams
• Self-motivated with strong attention to detail
• Adaptable to changing priorities and technologies
• Client-focused mindset with commitment to quality delivery

Overview

We are partnering with a leading global technology company in the semiconductor industry to hire a Senior Data Scientist.

This role focuses on applying data science, machine learning, and optimization techniques to improve manufacturing efficiency, production yield, and operational performance in a highly complex, data-rich environment.

Key Responsibilities

• Analyze large-scale operational and manufacturing datasets to identify trends and improvement opportunities
• Develop and deploy machine learning models to enhance performance, quality, and efficiency
• Build and maintain data pipelines to integrate and process data from multiple sources
• Design and implement simulation models (e.g. digital twin environments) to optimize workflows, scheduling, and resource allocation
• Work with 3D simulation platforms (e.g. Omniverse or similar) to model and improve real world systems
• Collaborate with engineering, operations, and business stakeholders to translate requirements into scalable data solutions
• Communicate insights and recommendations to both technical and non-technical audiences

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field
• Strong programming skills in Python and experience with SQL
• Hands-on experience in machine learning, statistical modeling, and data analysis
• Exposure to optimization techniques (e.g. linear programming, operations research) or simulation is highly preferred 
• Experience working with large and complex datasets in a production environment 
• Strong problem-solving skills and ability to translate business problems into analytical solutions
• Good communication skills and experience working with cross-functional stakeholders

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Team

Grab is more than just the leading ride-hailing and mobile payments platform in Southeast Asia. We use data and technology to improve everything from transportation to payments and financial services across a region of more than 620 million people. We work with governments, drivers, passengers, merchants, and the community, to solve critical problems in Southeast Asia.

Grab Geo team is an established team with strong start-up spirit, responsible for mapping, routing, navigation, POI (point-of-interest), travel time estimation and tech inventions on IoT etc. The Analytics team is one of the functions in Geo, whose mission is to advance product innovation with data analytics and experimentation best practices. If you are keen to solve complex problems such as how to improve the accuracy of time estimation, how to provide the most optimal route to travel, what is the best way to navigate, or participating in making a good map to serve South East Asia, here is your playground!

Get to know the role 

You will harness AI and large-scale geospatial data to solve complex mapping problems and provide the critical insights that power Grab’s superapp. Working at the intersection of Product, Engineering, Design and Operations, you will identify patterns in millions of GPS pings and sensor signals to build the most accurate map of Southeast Asia. We are looking for an innovative analyst to help evolve Grab’s "Geo-Moat" by turning raw telemetry into world-class mapping intelligence.

This role is based in Singapore and onsite.

The Critical Tasks You Will Perform

• AI-Powered Insights: Use agentic solutions to generate data-driven hypotheses that solve geospatial problems like routing, "first-mile/last-mile," and POI (Point of Interest) accuracy challenges.

• Partner closely with the broader product and engineering team to design and analyze experiments that drive key product decisions, deep dive into existing data to recommend new product ideas to solve for the most impactful customer problems

• Design and own data specs for mapping features, while collaborating with engineering teams to ensure accurate and timely data collection, ensuring scalable data collection that bridges the gap between raw signals and executive decision-making.

• Define and rigorously track high-impact metrics to provide actionable recommendations for continuous map improvement. Proactively use data to identify trends, spot anomalies and deep dive into their root causes

• Build and maintain AI-powered tools that allow regional business teams to self-serve geospatial insights, accelerating Grab’s ability to respond to local market changes.

• Provide mentorship to junior team members

Qualifications

What Essential Skills You Will Need

• 4+ years of experience in data analytics. Experience in IoT, map-making and working with Geospatial datasets will be preferred.

• AI native mindset, enjoy using AI to support your day to day work. Experience with building AI tools is a plus

• Fluent in SQL, Python, R, or other scripting/programming languages, and comfortable with very large datasets and complex ETL processes.

• Exposure to GIS tools and utilities (e.g., QGIS, Kepler, PostGIS) to manipulate, analyze, and visualize spatial data to improve maps and inform product insights will be a plus. 

• Statistical knowledge is a must. You have hands-on experience in running and analyzing controlled experiments, turning data into actionable insights.

• Data visualization and storytelling skills. Ability to build the right visualizations to communicate complex analyses to a variety of audiences, including senior leaders.

• Own the design and execution of innovative data frameworks for ambiguous problems, empowering stakeholders with the insights required to steer product strategy

Additional information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your day-to-day activities will include creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems.
You are expected to be a subject matter expert, collaborate and manage the team to perform effectively. You will be responsible for team decisions, engage with multiple teams, and contribute to key decisions while providing solutions to problems for your immediate team and across multiple teams.

Job Responsibilities

• Develop innovative data solutions that enhance data accessibility and usability.
• Collaborate with cross-functional teams to identify data needs and implement effective solutions.
• Monitor and optimize data pipelines for performance and reliability.
• Conduct regular data quality assessments and implement improvements as necessary.
• Stay updated with industry trends and best practices in data engineering to continuously improve processes.
• Query, clean, and transform datasets using SQL and Python on Databricks/Pyspark.
• Ensure data quality and consistency across systems in accordance with government Instruction Manual (IM8) standards.
• Build, enhance, and maintain dashboards for data monitoring, performance reporting, and user behaviour analytics.
• Partner with business stakeholders to understand data requirements and translate them into impactful visual insights.
• Develop clear and comprehensive user guides for dashboards, charts, and data workflows in Databricks
• Maintain technical documentation (e.g., on Confluence) for analytics processes, standards, and best practices.

Job Qualification

• Degree in Computer Science, Information Systems, Data Engineering, or a related field
• With 5 or more years of hands-on experience in data engineering, data pipelines, and ETL processes.
• Proficiency in SQL and Python for data processing and automation.
• Hands-on experience in dashboard tools such as Tableau, Power BI, or equivalent visualisation tools.
• Familiarity with Databricks or similar big data/analytics platforms.
• Ability to produce high-quality technical documentation.
• Experience in system testing, SIT/UAT, or quality assurance processes.
• Knowledge of Spark for distributed data processing.
• Understanding of Git or other version control systems.
• Excellent analytical mindset and problem-solving abilities.
• Good communication skills, especially in explaining technical concepts to non-technical users.
• Ability to work independently as well as collaboratively in cross-functional teams.
• Attention to detail and commitment to delivering high-quality work.

We respect your privacy and all communication will be treated with confidentiality. If you wish to know more about this position or explore other roles, please prepare your updated profile and get in touch with carolyn.mendoza@manpower.com.sg | Personnel Reg No.: R1105160 | EA License: 02C3423

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by Manpower for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012. To learn more about ManpowerGroup's Global Privacy Policy, please visit https://www.manpower.com.sg/privacy-policy

Dear Applicant,

If you or someone you know isinterested, please send the CV directly to VeronicaE@evolutionjobs.sg (mostpreferred, as I may overlook some CVs due to the high volume).

Please note that visasponsorship is not available at this time.

JD

1. Accountable for overall project business requirements elicitation
2. Driving business discussions and managing the project scope
3. Senior stakeholder management and leadership updates
4. Support the project delivery phases especially during Analysis and design and test phases.
5. Ability to support the PM when required

Key requirements:

1. 10+ years of experience in Banking industry.
2. 10+ years of experience as an FBA working in technical delivery.
3. Experience as a business analyst in leading banks and delivered projects, programs of large scale.
4. Should have good communication skills and capability to drive senior stakeholders with minimal supervision.
5. Should have domain experience in Data/Analytics.

Job Summary

An exciting opportunity for Lead Data Engineer to be a part of a project for strategic initiatives in architecting, designing and building next-generation cloud-based data platforms.

You will be part of a high-impact team that works collaboratively with various teams (both internal and external) to address corporate most critical data and infrastructure challenges.

Mandatory Skill-set

• Degree in Data Engineering, Computer Science, Information Technology;
• At least 10 years of experience in data engineering, cloud infrastructure or platform engineering;
• Strong hands-on exposure in data science, data analytics and / or data engineering;
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage in an air-gapped environment;
• Hands-on experience with cloud technologies such as AWS, Azure, and Google Cloud;
• Experience with distributed data technologies such as Spark, Hadoop;
• Proficiency in programming languages such as Python, R, Java, and SQL;
• Familiarity with building and using CI/CD pipelines and infrastructure-as-code practices;
• Experience in Databricks and implementing batch/real-time data pipelines;
• Strong industry and best practice knowledge on data governance, policy, security and privacy;
• Strong hands-on exposure with ETL Extract, Transform, Load tools;
• Possess strong written and verbal communication abilities, effectively conveying information to various stakeholders.

Desired Skill-set

• Experience with Databricks or Snowflake.

Responsibilities

• Work closely with the various team in architecting, designing and building ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Translate business data requirements into technical specifications and scalable solutions;
• Involved in architecting and scaling data analytics infrastructure on cloud environment; development of systems, architectures, and platforms that can scale large volume and variety;
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Improve and optimize the workloads, processes to ensure that performance levels can support continuous accurate, reliable, and timely delivery of data products; ensure maximum database uptime;
• Monitoring of databases and ETL systems for database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence;
• Construct, test, and update useful and reusable data models based on business data needs;
• Engagement and collaboration with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools;
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures;
• Assist to maintain master data catalogue to document data assets, metadata and lineage;
• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data;Champion engineering excellence and influence adoption of modern data and infrastructure practices across the entire organization.

Should you be interested in this career opportunity, please send in your updated resume to apply@sciente.com at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA License No. 07C5639

About the Role

We are looking for a skilled and proactive Database Engineer to design, implement, and maintain robust, scalable, and secure database systems. You will play a key role in managing both cloud and on-premise data platforms, ensuring high performance, reliability, and data integrity across the organisation.

Key Responsibilities

Database Implementation & Operations

• Design, deploy, and manage databases in alignment with architectural standards and technical specifications
• Configure and maintain data storage solutions across relational, non-relational, and hybrid environments
• Manage cloud-based database infrastructures with a focus on cost efficiency, scalability, and performance

Performance & Optimisation

• Identify and implement database tuning strategies, including indexing and query optimisation
• Monitor and troubleshoot performance issues across relational and NoSQL database systems

Data Lifecycle & Reliability

• Define and enforce data lifecycle policies, including retention, archival, and deletion strategies
• Develop and maintain robust backup and recovery processes to ensure data availability and integrity

Security & Compliance

• Ensure database security, including access controls and adherence to organisational and regulatory requirements
• Collaborate with cross-functional teams to support data governance, compliance, and audit initiatives

Automation & Efficiency

• Automate routine database administration tasks to improve operational efficiency
• Leverage scripting and automation tools to streamline deployment, monitoring, and maintenance processes

Qualifications & Skills

• Bachelor’s Degree in Computer Science, Information Systems, or a related discipline
• Minimum 5 years of experience in database administration across multiple database architectures
• Strong experience with relational databases such as Microsoft SQL Server and PostgreSQL
• Hands-on experience with NoSQL databases (e.g., Cassandra, MongoDB) is an advantage
• Familiarity with object storage solutions such as AWS S3 or Nutanix Object Store
• Knowledge of graph databases (e.g., Neo4j) is a plus
• Strong expertise in performance tuning, indexing, and query optimisation
• Experience in data lifecycle management, including retention and archival strategies
• Proficient in scripting and automation using Python, Bash, or PowerShell
• Strong analytical thinking, problem-solving abilities, and stakeholder collaboration skills

Work Location: One North

(EA Reg No: 20C0312)

Please email a copyof your detailed resume to kayla@talentsis.com.sg for immediate processing.

Only shortlistedcandidates will be notified.

About the company & role

Our client is a well‑established A1main contractor with a strong track record of delivering large‑scale, complex projects across Singapore and the region. Known for its robust in‑house engineering capabilities and collaborative project delivery, the organisation is highly regarded for its technical excellence, buildability focus, and commitment to safety and quality.

As part of its continued expansion in mission‑critical developments, the organisation is strengthening its technical leadership to support Data Centre projects across Southeast Asia. It is currently seeking a Senior Technical Manager to lead and oversee all Civil and Structural design activities across the region.

Key Responsibilities

Technical Leadership & Design Management

• Lead all Civil & Structural (C&S) design works for Data Centre projects from tender through to completion.
• Manage and coordinate design consultants to deliver optimised, buildable solutions within budget and programme.
• Oversee design schedules, shop drawings, calculations, and technical documentation.

Coordination& Stakeholder Management

• Coordinate design interfaces and approvals with clients, authorities, consultants, and internal teams.
• Work closely with construction and commercial teams to resolve design issues and support site execution.
• Manage technical queries, RFIs/RFAs, and provide technical support during tender and delivery phases.

Procurement, Quality & Compliance

• Review technical specifications and submissions from consultants, subcontractors, and suppliers.
• Ensure compliance with statutory requirements, codes, safety standards, and data centre–specific design criteria.
• Drive design best practices and continuous improvement across projects.

People& Client Leadership

• Lead and develop technical teams to deliver high‑quality outcomes.
• Build strong client relationships through clear communication and a solutions‑focused approach.

Requirements

• Degree in Civil Engineering from a recognised university endorsed by the Professional Engineers Board.
• Minimum 10 years of engineering experience, with proven delivery of large-scale, complex construction projects.
• Strong knowledge of C&S design principles, authority submission processes, and construction methodologies.
• Demonstrated leadership experience managing consultants and multidisciplinary teams.
• Proven experience delivering Data Centre projects is highly preferred.
• Willingness to travel across Southeast Asia when needed.

Interested candidate kindly send your CV to wenyu.jiang@peoplesearch.jobs. Please indicate your availability, expected salary and reason for leaving current job.

We regret that only shortlisted candidates will be contacted.

About the Project

We are seeking an experienced Data Analyst to support business operations. This role will focus on headcount and resource planning, expense analysis, and margin assessment, ensuring optimal staffing levels to meet business demands.

Responsibilities

• Assess data related to business margins, expenses, resource allocation, and costing data to support operational planning.

• Lead headcount planning by calculating requirements, identifying overstaffing/understaffing situations, and providing actionable recommendations.

• Prepare and deliver professional presentations to senior stakeholders, backed by accurate data points and insights.

• Conduct forecasting to anticipate future business needs and resource requirements.

• Provide consulting support to the business on capacity planning strategies.

• Collaborate with cross-functional teams across APAC markets to align planning with operational objectives.

Skills/Requirement

• Minimum 6 months of experience in data analysis, reporting and presentation in a corporate environment.

• Strong proficiency in Excel (advanced formulas, pivot tables, charts, data modelling).

• Proven experience in preparing and presenting insights to senior business leaders.

• Ability to challenge senior stakeholders constructively with data-backed recommendations.

• Strong analytical, forecasting, and problem-solving skills.

• Excellent communication and presentation abilities.

• Prior experience in APAC roles preferred.

We regret to inform you that only shortlisted candidates will be contacted.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Tech Services Pte Ltd and its local and overseas subsidiaries and affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy. Our full privacy policy is available at https://www.persoloutsourcing.com/policies.. If you wish to withdraw your consent, please email us at Ken.Tan@persoloutsourcing.com. Please feel free to contact us if you have any queries.

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing exceptional customer support to our clients.

Our Team:

The Global Data Analytics Team is the frontline customer service provider for Bloomberg's Data clients. We deliver knowledgeable and dedicated service to our customers addressing data related inquiries. We liaise with data’s domain based teams to help confirm and support data related inquiries through the "ADSK" system. We solve complex problems and provide accurate and timely solutions in order to consistently surpass the expectations of our clients.

The team is structured into domain based teams across three asset classes with Equity, Fixed Income and Multi Asset teams across the globe with generalists across each group. These teams are directly aligned to domain based ADSK groups and partners among Data’s departments, Companies, Securities, Managed Investment and Benchmarks, Content Acquisition, and the Data Management Lab teams.

What’s the role?

Our Data Analysts are the front line of customer service for Data supporting both internal and external clients. In this role your core responsibility will be supporting Bloomberg clients through our Help Desk, which will allow you to develop general financial markets understanding and knowledge of the inner workings of Bloomberg's customer service technology. You will also use your project management skills and problem solving abilities to assist in the implementation of strategic solutions to improve client experience and team workflows and procedures. We are a large team that interacts with all areas of the business, therefore the ability to effectively connect with partners in different regions and roles is essential.

We'll trust you to:

• Leverage your customer service skills to provide exceptional customer service to Bloomberg clients via our Help Desk (ADSK)
• Use your customer service skills and subject matter expertise to educate and inform our clients
• Build and maintain relationships with key internal and external Stakeholders (such as Enterprise Support, Analytics, and Data Product Teams)
• Use problem solving and data analysis skills to find insights that assist in the implementation of strategic solutions to improve the client experience
• Enhance customer operational performance by using Help Desk resources
• Actively seek out opportunities for self-improvement, keeping up with new product training and process knowledge
• Make independent decisions to resolve customer issues with strong problem solving skills

You’ll need to have:

• Up to 3 years of work experience in the financial services industry, including exchanges, market data providers, financial technology or financial institutions
• Experience working in a customer service roles where you're interacting with both internal and external clients, eg customer support or helpdesk roles
• Business proficiency in Japanese or Korean language to cover Japanese or Korean-speaking clients
• Proven written and verbal communication skill in English
• A bachelor's degree or higher in relevant data technology or financial field, or degree-equivalent qualifications
• Proven ability to multitask effectively, remain professional under pressure, and meet deadlines in a fast-paced, dynamic environment
• Strong analytical and problem-solving skills, with the ability to take a logical approach and apply critical thinking to resolve complex or time-sensitive issues
• Comfortable working both independently and collaboratively within multidisciplinary teams, demonstrating self-motivation and adaptability
• Demonstrated continuous career growth within an organisation

We’d love to see:

• Proficiency in another Asian language as this role will require coverage across Asia
• Proficiency in Microsoft Office suite & Google Drive
• Proficiency in data analytics tools such as QlikSense, or Tableau

Bloomberg is committed to improving the communities, cities and countries in which we work, and we support various initiatives including hiring and developing local talent. So, we may prioritize candidates with legal authorization to work full-time in Singapore for this role, who do not require Bloomberg to sponsor their work authorization.

If this sounds like you:

Apply if you think we’re a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this:

Learn more about our office and benefits:

Singapore | http://www.bloomberg.com/professionalhttp://www.bloomberg.com/singapore

Company / Role Overview

This opportunity sits within a large-scale finance transformation programme at a leading global financial services organisation undergoing multi-country ERP modernisation. The role focuses on supporting data migration and cutover activities for finance systems as part of a broader initiative to enhance financial operations, reporting capabilities, and decision-making processes. Working within a central delivery team, the individual will collaborate closely with finance, technology, and external delivery partners to ensure accurate data transition, operational readiness, and smooth system go-live across multiple business units.

Key Responsibilities

• Support the planning and execution of data migration and cutover activities, including defining scope, sequencing, timelines, and governance processes
• Assist in designing and implementing data mapping, transformation, validation, and reconciliation approaches in collaboration with business and technical stakeholders
• Coordinate and support data extraction, cleansing, and loading processes into the target ERP system, ensuring completeness and accuracy of migrated data
• Perform and support reconciliation activities (e.g. trial balance and subledger validations) to ensure data integrity, including obtaining business sign-offs
• Contribute to the development and maintenance of detailed cutover plans and runbooks, including supporting mock runs, dress rehearsals, and go-live execution
• Facilitate coordination across cross-functional teams (finance, IT, vendors, and programme teams) to manage dependencies, risks, and issue resolution during cutover phases
• Support operational readiness activities, including readiness assessments, tracking of milestones, and ensuring entry/exit criteria are met for key delivery stages
• Assist in governance and reporting activities, including tracking progress, escalating risks, and supporting decision-making forums for go/no-go readiness

Job Requirements

Must-Have:

• 3-7 years of experience in ERP implementations with exposure to data migration and/or cutover activities
• Hands-on involvement in at least one end-to-end system implementation cycle, including go-live support
• Experience working with ERP financial data, including data migration concepts such as mapping, cleansing, and reconciliation
• Exposure to ERP data migration tools or methods used for bulk data handling and system uploads
• Strong stakeholder coordination skills, with the ability to work across business, technology, and vendor teams
• Ability to operate in fast-paced, time-critical environments with strong problem-solving and execution capabilities

Nice-to-Have:

• Experience with Oracle-based ERP platforms or similar financial systems
• Prior exposure to finance transformation programmes or financial reporting processes
• Experience working in global or multi-country programme environments
• Familiarity with complex accounting standards or regulatory reporting requirements
• Relevant certifications in project delivery, ERP systems, or testing frameworks

If this role aligns with your experience and career goals, please send your application to AviralBhargava@argyllscott.sg.

Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.

At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together. 

We’re all in, are you?

Join EY and shape your future with confidence.

About the opportunity

EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region. We are seeking a Senior Associate Data Engineer with strong hands-on experience in ETL development using Talend and Microsoft Azure data services. The role involves designing, building, and optimizing scalable data pipelines to support analytics, reporting, and downstream applications.
 

Your key responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Talend
• Integrate data from multiple sources (databases, APIs, flat files, cloud sources)
• Build and manage data workflows on Microsoft Azure, Azure Data Factory, Azure Data Lake Storage (ADLS), Azure SQL / Synapse Analytics
• Ensure data quality, consistency, and reliability
• Optimize data pipelines for performance, scalability, and cost
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.
• Collaborate with data analysts, BI teams, and stakeholders to understand data requirements
• Implement data validation, monitoring, and error handling
• Support production deployments and resolve data pipeline issues
• Document data flows, transformations, and technical designs
• Mentor junior team members and provide technical guidance

To qualify for the role, you must have

• Bachelor’s degree in Computer Science, Information Systems, or related field.
• Minimally 4 years of hands-on experience in Data Engineering/ETL Development 
• Strong experience with ETL design patterns, data warehousing, and real-time/near real-time data processing.
• Strong hands-on experience with Talend (Data Integration/Big Data) 
• Solid experience with Microsoft Azure data services, including: Azure Data FactoryAzure Data Lake Azure SQL/Synapse 
• Strong SQL skills (complex queries, performance tuning) 
• Experience with data warehousing concepts 
• Prior Consulting/Professional Services experience
• Familiarity with batch and near-real-time data processing\
• Understanding of data governance, security, and access controls
• Experience working in Agile/Scrum environments

Ideally, you’ll also have

• Experience with Python or Spark
• Exposure to DevOps / CI-CD pipelines for data platforms
• Experience with Power BI or downstream analytics tools
• Knowledge of cloud cost optimization best practices
• Experience in regulated or enterprise environments

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What working at EY offers

EY offers a competitive remuneration package where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements. Plus, we offer:

Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Company description

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

All in to shape the future with confidence.

If you are interested to join us, please apply via Fei Yue Career Portal.

As a Technical Lead, you are entrusted with the responsibility to spearhead emerging technology initiatives. Working closely with service groups and other team players, your role is to turn real challenges into practical and user-centered solutions, combining design, technology and data to improve client outcomes and the day-to-day work of our staff.

You are responsible for the build and integration of applications, data pipelines, dashboards, and AI-enabled solutions that align with frontline services and organizational objectives. You will ensure solutions are robust, maintainable, and responsibly deployed, with strong attention to data protection, ethical use of technology, and real-world usability in a social service space.

You are part of the innovation squad, a multidisciplinary team, driving digital and service transformation across frontline services, and shaping next generation tools and experiences for our staffs and the vulnerable communities.

Responsibilities:

Tech Exploration and Strategic Alignment

• Identify where technology, data and AI can meaningfully improve services and address challenges that align with organizational outcomes
• Evaluate technical, data, and integration considerations early in the process
• Explore emerging technologies and recommend responsible and practical applications
• Identify potential risks and ethical or data related considerations

Technical Architecture and Solution Design

• Design secure, scalable, and maintainable solution architectures
• Define and document technical specifications and integration requirements
• Assess vendor tools or platforms for suitability
• Ensure alignment between user experience, technical feasibility and operational practicality

Development, Data Work and Implementation

• Lead development efforts with in-house, vendors or other development teams
• Conduct technical reviews and ensure adherence to performance, security and quality standards
• Oversee functional testing, UAT, and security checks
• Manage deployment and successful integration with internal systems

Data Responsibilities

• Develop workflows that organize, prepare and maintain data for solution use
• Create automated processes to extract, transform, validate and connect data from various resources
• Build dashboards and visualizations that help teams glean insights and monitor outcomes

Delivery, Maintenance and Continuous Improvement

• Monitor solution stability, performance and adoption post launch
• Troubleshoot issues and implement iterative improvements based on feedback
• Maintain technical documentation for continuity and knowledge transfer
• Ensure long term sustainability through proper updates, version control

Requirements:

• Bachelor’s degree in computer science, information systems or related technical discipline
• At least 5 years in technology roles that involves solution design, digital products, data-enabled work and/or AI related projects
• Familiarity working with APIs, cloud platforms and modern solution stacks
• Ability to work in data preparation, transformation and creating dashboards or analytical views is preferred
• Confident communicator with both technical and non-technical stakeholders
• Proactive learner with strong interest in new technologies, data tools and AI applications

For your privacy and security, kindly refrain from including your NRIC number in your application form or resume. Please note that we do not accept hardcopy resumes.

• Plan and execute marketing initiatives for AI data center and immersion cooling solutions.
• Create professional content: presentations, solution briefs, case studies, and digital/LinkedIn materials.
• Drive local campaigns, webinars, and events to generate leads and strengthen client engagement.
• Collaborate closely with sales and technical teams to develop customer-facing materials and proposals.
• Represent the company professionally at client meetings and industry events.

Requirements:

• Degree in Engineering, IT, Marketing, Business, or equivalent
• At least 5 years of B2B marketing experience in data centers, IT infrastructure, AI/GPU platforms, or cooling solutions.
• Solid understanding of data center operations, rack layouts, cooling technologies, and GPU-based AI systems.
• Ability to translate technical concepts into clear value propositions for non-technical stakeholders.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Join Our Team – Data Admin
We are seeking a detail-oriented and organised individual to support data cleaning and reconciliation work. You will be responsible for updating records, verifying information, resolving discrepancies, and ensuring data accuracy across systems.

Job Summary

Support digitalisation initiatives by developing dashboards to improve visibility of operational risks and hazards. This role focuses on creating user-friendly data visualisation tools to enhance workplace safety and decision-making.

Job Responsibilities

• Design and develop dashboards to visualise risks and hazards across operational areas
• Gather and organise data to ensure accuracy and clarity in reporting
• Work with stakeholders to understand requirements and improve dashboard usability
• Maintain and update dashboards to reflect latest data and insights
• Support digitalisation and process improvement initiatives

Requirements

• Diploma in a relevant field (e.g. Engineering, IT, Data Analytics)
• Knowledge of dashboard tools such as Power BI, Power Apps, or similar platforms

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026  

Email : kimlow@recruitexpress.com.sg

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Description
A manufacturing company in Singapore is hiring a full-time Technical Service Technician. You will support production by operating equipment, performing preventive maintenance, and troubleshooting to meet output and quality targets. Training will be provided, fresh graduates are welcome.

Key Responsibilities
• Operate manufacturing equipment to meet production schedule and output targets
• Troubleshoot equipment issues to minimise downtime and meet quality standards
• Perform daily and monthly preventive maintenance to improve equipment reliability
• Support workplace safety practices and participate in quality improvement projects
• Maintain basic records for maintenance activities and equipment performance

Requirements
• Minimum NITEC in an Engineering discipline (Mechanical, Mechatronics, Robotics, or related)
• Able to read and understand electrical and mechanical diagrams
• Comfortable with 12-hour shift work and willing to work overtime when required
• Able to lift and carry 10–15kg
• Willing to work in a controlled manufacturing environment
• Open to fresh graduates

Shift Pattern
• 12-hour shift, 4-3-3-4 work/rest cycle
Week 1: Work 4 days, rest 3 days
Week 2: Work 3 days, rest 4 days
Repeat cycle
• Assigned shift: Sunday Night Shift, 7:45pm to 7:55am

Salary & Allowances
• Basic Salary: Up to $2,100 per Month
• Allowances: Up to $400++ per Month

Location
• Jurong East

Interested?
Kindly WhatsApp 8839 0096 and mention “Technical Service Technician”.

Only shortlisted candidates will be notified.

Epiphanius Tan (R26160523)
Crew By HRnet | HRnet Ventures Pte Ltd
EA24C2435

• Generate data-driven hypotheses to solve key Product/Business problems

• Use data to identify trends, spot anomalies and deep dive into their root causes

• Partner closely with the broader product and engineering team to design and analyze experiments that drive key product decisions, deep dive into existing data to recommend new product ideas to solve for the most impactful customer problems

• Design and own frontend and backend data specs for new products, while collaborating with engineering teams to ensure accurate and timely data collection, consolidate data from multiple sources to create integrated and scalable views that can be used to drive decision making

• Provide catered analysis for specific products and operations, define critical business metrics and track them rigorously, and provide regular recommendations to achieve continuous improvements

• Work closely with stakeholders to understand their needs/ pain points to scope up their problems and enhance internal processes through automation and improve productivity

⏰ Working Arrangement: 6 days' work week

Job Responsibilities:

• Analyse, correlate, interpret and visualise data to uncover trends and patterns.
• Formulate and test threat hunting hypothesis.
• Produce insights and supporting evidence to support decision making.
• Compile and share intel with counterparts for prompt intervention actions.
• Translate concepts and results into reports and presentation for senior stakeholders

Job Requirements:

• Degree in Computer Science / Computer Engineering / Mathematics / Statistics / Data Science and Analytics or equivalent.
• Knowledge of cybersecurity concepts and applications. Candidates with relevant cybersecurity certifications are preferred.
• At least 5 year of experience in data transformation, interpretation, and quantitative data analysis.
• Knowledge of statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with their application is preferred.
• Experience in using databases and frameworks for big data analytics such as Hadoop / Hive / Spark, and able to write complex SQL queries.
• Domain knowledge and experience in Computer Networking, Network Security, or System Security is preferred.
• Good writing, communication and presentation skills.
• Fast learner with self-motivation and independence to acquire knowledge on new domains or technologies quickly.

To Apply, please kindly email your updated resume to weizhe.teoh@tg-hr.com

Regret to inform that only shortlisted candidates will be notified.

CEI: R25127749

EA License: 14C7275

Job Overview

We are seeking a skilled and motivated Data/AI Compliance Analyst to join our team. This is a dual-role position that combines data analysis, AI compliance coordination, and AI audit support.

The role will support both data-driven business improvement and the governance, tracking, and follow-up of AI compliance and audit-related actions across internal products and initiatives. The successful candidate will work closely with cross-functional teams to analyse data, improve reporting and operational visibility, and help ensure that AI-related systems, processes, and use cases are properly documented, monitored, and aligned with internal governance, compliance, and audit requirements.

As a Data/AI Compliance Analyst, you will bridge the gap between data, operations, business processes, and AI governance, helping the organisation turn information into actionable insight while strengthening accountability, control, and follow-through on AI risk and compliance matters.

Key Responsibilities

A. Data Analyst Responsibilities

• Analyse business processes and identify opportunities for optimisation through data-driven insights and reporting.

• Collaborate with stakeholders to define key performance indicators (KPIs), business goals, and reporting requirements.

• Conduct data analysis to derive actionable insights that support business decisions, operational improvements, and management reporting.

• Identify, analyse, and interpret trends or patterns in data sets related to business performance, operational issues, system performance, and user behaviour.

• Clean, transform, validate, and maintain data to ensure accuracy and consistency across reporting and analysis.

• Design and maintain dashboards, reports, and visualisations using BI tools such as Power BI and Tableau.

• Support exploratory data analysis to uncover insights and improve understanding of business and system performance.

• Work with product, development, and business teams to improve reporting structures, data visibility, and analytics processes.

• Prepare clear presentations, reports, and summaries of findings for technical and non-technical stakeholders.

• Participate in system and process improvement discussions to ensure alignment between analytics needs and business objectives.

B. Compliance Analyst Responsibilities

• Support the development and maintenance of registers, logs, and documentation related to AI use cases, risks, incidents, controls, and action items.

• Track and follow up on AI compliance, audit, and governance action items, ensuring owners are identified, timelines are monitored, and findings are closed in a timely manner.

• Support internal reviews, governance checks, and audit preparation for AI-related initiatives, including gathering evidence and maintaining organised supporting documentation and audit trails.

• Assist in monitoring adherence to AI governance frameworks, internal policies, and relevant standards or control requirements.

• Work with product, development, and business teams to ensure that AI solutions are supported by required documentation, testing records, issue tracking, and control evidence.

• Help identify compliance gaps, process weaknesses, and control improvement opportunities related to AI systems, workflows, and data handling practices.

• Support the preparation of compliance updates, audit status reports, management summaries, and governance materials.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Statistics, or a related discipline.

• Proven experience in data analysis, reporting, business systems analysis, or business intelligence.

• Strong understanding of business processes, reporting structures, and how data supports decision-making.

• Proficiency in tools such as Excel, SQL, Power BI, Tableau, Python, or similar analytics and reporting platforms.

• Experience in data wrangling, dashboard development, visualisation, and reporting.

• Strong analytical and problem-solving skills with attention to detail.

• Good written and verbal communication skills, with the ability to present findings clearly to both technical and non-technical stakeholders, and to prepare compliance updates, summaries, and status reports.

• Experience in maintaining trackers, registers, logs, action lists, and documentation for compliance or audit purposes.

• Strong organisational skills with the ability to manage multiple follow-ups, monitor action items, and ensure closure.

• Ability to work across teams to coordinate updates, gather evidence, and support governance and audit requirements.

• Proactive, disciplined, and able to drive accountability and follow-through across stakeholders.

• Exposure to AI compliance, AI governance, AI risk management, or AI audit practices will be an advantage.

• Experience in compliance tracking, audit coordination, governance support, risk tracking, or control documentation will be an advantage.

Job Overview

We are seeking a skilled and motivated Data/AI Compliance Analyst to join our team. This is a dual-role position that combines data analysis, AI compliance coordination, and AI audit support.

The role will support both data-driven business improvement and the governance, tracking, and follow-up of AI compliance and audit-related actions across internal products and initiatives. The successful candidate will work closely with cross-functional teams to analyse data, improve reporting and operational visibility, and help ensure that AI-related systems, processes, and use cases are properly documented, monitored, and aligned with internal governance, compliance, and audit requirements.

As a Data/AI Compliance Analyst, you will bridge the gap between data, operations, business processes, and AI governance, helping the organisation turn information into actionable insight while strengthening accountability, control, and follow-through on AI risk and compliance matters.

Key Responsibilities

A. Data Analyst Responsibilities

• Analyse business processes and identify opportunities for optimisation through data-driven insights and reporting.

• Collaborate with stakeholders to define key performance indicators (KPIs), business goals, and reporting requirements.

• Conduct data analysis to derive actionable insights that support business decisions, operational improvements, and management reporting.

• Identify, analyse, and interpret trends or patterns in data sets related to business performance, operational issues, system performance, and user behaviour.

• Clean, transform, validate, and maintain data to ensure accuracy and consistency across reporting and analysis.

• Design and maintain dashboards, reports, and visualisations using BI tools such as Power BI and Tableau.

• Support exploratory data analysis to uncover insights and improve understanding of business and system performance.

• Work with product, development, and business teams to improve reporting structures, data visibility, and analytics processes.

• Prepare clear presentations, reports, and summaries of findings for technical and non-technical stakeholders.

• Participate in system and process improvement discussions to ensure alignment between analytics needs and business objectives.

B. Compliance Analyst Responsibilities

• Support the development and maintenance of registers, logs, and documentation related to AI use cases, risks, incidents, controls, and action items.

• Track and follow up on AI compliance, audit, and governance action items, ensuring owners are identified, timelines are monitored, and findings are closed in a timely manner.

• Support internal reviews, governance checks, and audit preparation for AI-related initiatives, including gathering evidence and maintaining organised supporting documentation and audit trails.

• Assist in monitoring adherence to AI governance frameworks, internal policies, and relevant standards or control requirements.

• Work with product, development, and business teams to ensure that AI solutions are supported by required documentation, testing records, issue tracking, and control evidence.

• Help identify compliance gaps, process weaknesses, and control improvement opportunities related to AI systems, workflows, and data handling practices.

• Support the preparation of compliance updates, audit status reports, management summaries, and governance materials.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Statistics, or a related discipline.

• Proven experience in data analysis, reporting, business systems analysis, or business intelligence.

• Strong understanding of business processes, reporting structures, and how data supports decision-making.

• Proficiency in tools such as Excel, SQL, Power BI, Tableau, Python, or similar analytics and reporting platforms.

• Experience in data wrangling, dashboard development, visualisation, and reporting.

• Strong analytical and problem-solving skills with attention to detail.

• Good written and verbal communication skills, with the ability to present findings clearly to both technical and non-technical stakeholders, and to prepare compliance updates, summaries, and status reports.

• Experience in maintaining trackers, registers, logs, action lists, and documentation for compliance or audit purposes.

• Strong organisational skills with the ability to manage multiple follow-ups, monitor action items, and ensure closure.

• Ability to work across teams to coordinate updates, gather evidence, and support governance and audit requirements.

• Proactive, disciplined, and able to drive accountability and follow-through across stakeholders.

• Exposure to AI compliance, AI governance, AI risk management, or AI audit practices will be an advantage.

• Experience in compliance tracking, audit coordination, governance support, risk tracking, or control documentation will be an advantage.

Required Skills & Qualifications

• Bachelor’s or master’s degree in operations research, Computer Science, Data Science, or a related quantitative discipline, with a strong foundation in optimization, simulation, and algorithmic problem‑solving.
• Minimum of 3 years of hands‑on experience in 3D modelling and simulation using platforms such as NVIDIA Omniverse or equivalent tools.
• Strong proficiency in Python, R, SQL, and modern data engineering practices.
• Practical experience with machine learning frameworks such as TensorFlow and PyTorch, as well as simulation and modeling tools.
• Solid understanding of semiconductor manufacturing processes and fab operations.
• Familiarity with IoT data pipelines, MES systems, and cloud platforms such as AWS and Azure.

Key Responsibilities

• Collaborate with a global, cross‑functional team of data scientists, data engineers, solution architects, external partners, and stakeholders from construction, facilities, and planning teams to develop highly accurate digital twins of semiconductor fabs.
• Enable advanced digital twin capabilities, including photorealistic visualization and physics‑based simulation, to support planning and operational decision‑making.
• Design, build, and maintain data‑driven models that represent semiconductor fab processes,equipment behavior, and sub‑fab utility systems.
• Integrate IoT sensor data, Manufacturing Execution System (MES) data, and facility data into the digital twin platform to ensure real‑time and historical insight.
• Develop predictive analytics and machine learning models for predictive maintenance, throughput optimization, energy efficiency, and yield improvement.
• Apply statistical and ML techniques to forecast equipment failures, cycle time variability, and potential yield impacts.
• Leverage simulation tools such as NVIDIA Omniverse to conduct what‑if analysis for layout planning, capacity expansion, and process optimization.
• Optimize fab workflows to improve cost efficiency, energy consumption, and overall productivity.
• Design and deliver dashboards for real‑time monitoring of key fab KPIs, including OEE, WIP, and energy usage.
• Partner with engineering teams to visualize fab layouts, system states, and operational scenarios within immersive 3D environments.
• Support and contribute to cross‑functional initiatives related to AI, automation, Industry 4.0, and smart manufacturing solutions.

To Apply:

Interested applicants please send your resume in MS Words format to pooja.yadav@ambition.com.sg and attention to Pooja (R1551322)

Short listed candidates will be notified

www.ambition.com.sg

EA Registration Number: R1551322

Data provided is for recruitment purposes only

Business Registration Number: 200611680D.

License Number: 10C5117

Experience: 6+ years experience in large dataplatform and large‑scale datamigration in Cloudera ADF & Databricks

KeyResponsibilities (R&R)

• Own end‑to‑end historical data migration from Cloudera (Hive/HDFS) and legacy systems
• Design and execute one‑off bulk history migration
• Design daily incremental loads via ADF, fully metadata‑driven
• Implement migration using customer ingestion framework or custom framework
• Design restartable, idempotent migration pipelines
• Build reconciliation reports (counts, checksums, balances)
• Develop automated testing packs for HDM (history data migration)
• Handle schema drift, data quality issues, and legacy anomalies
• Support parallel run, cutover, and business sign‑off
• Act as migration SPOC across platform, ingestion, and business teams

MandatorySkills (Must‑Have)

• Azure Data Factory (ADF) – metadata‑driven pipelines
• Basic Cloudera working knowledge
• Cloudera → Cloud migration (mandatory)
• Large‑volume historical data migration
• Azure Databricks (Spark / SQL)
• Data reconciliation and audit sign‑off
• Framework‑based data ingestion / migration

Good‑to‑Have

• Azure Data Box–based migration experience
• Bulk history extraction using Data Box
• Landing data into ADLS Gen2
• Processing history in Databricks (Delta)
• Orchestrating incrementals via ADF