Total 786 Information Technology job vacancies

• Possess a degree in Computer Science/Information Technology or related fields.
• Min 8 years of relevant working experience in software or data engineering with proficiency in Python.
• Strong experience in unit and integration testing.
• Familiarity with DevOps practices and Agile methodologies.
• Strong software engineering, analytical and problem-solving skills.
• Good team player and communication skill.
• CAT-1 cleared/eligible candidate is required for this role.
• Experience in AWS and Kubernetes (K8s)
• Familiarity with data platforms such as Snowflake, Apache Spark, or Apache Hive, as well as orchestration tools like Apache Airflow, Dagster, or Prefect.
• Familiarity with GitHub workflows and Datadog.
• Develop and maintain data pipelines and ETL/ELT processes, and ensuring maintainability through unit and integration testing.
• Collaborate with data teams to understand requirements and automate deployment and monitoring.
• Optimize data storage and troubleshoot issues to enhance performance.

Roles & Responsibilities

• Explore both qualitative and quantitative data sets, perform in-depth analysis to derive actionable insights, identify problems, and propose data-driven solutions for the WeChat ecosystem
• Collect large sets of structured and unstructured data from independent sources; clean, validate, and transform data to ensure accuracy, completeness, and uniformity
• Design and maintain dashboards, reports, and automated data pipelines to support ongoing business monitoring and decision-making
• Analyze data to identify patterns, trends, and anomalies, uncovering potential opportunities and/or threats to the WeChat ecosystem
• Interpret findings to discover solutions or opportunities and build story-boards to communicate insights to the business for action
• Own and evolve the computer vision infrastructure, including building, optimizing, and maintaining CV model training/serving pipelines, evaluation frameworks, and related toolchains
• Develop and deploy computer vision solutions (e.g., image/video understanding, OCR, content moderation, multimodal analysis) to address business needs across the WeChat ecosystem
• Leverage LLM-based approaches and other machine learning / deep learning techniques where appropriate to enhance analytical capabilities and support intelligent product features

Knowledge & Competencies:

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Mathematics, Statistics, Data Science, or a similar quantitative field
• Hands-on experience with LLM application development (e.g., fine-tuning, RAG, Agent frameworks such as LangChain/LlamaIndex/AutoGen) is strongly preferred
• Experience with computer vision models (e.g., object detection, image classification, multimodal models) is a plus
• Good knowledge of Python; familiarity with C/C++ is a plus
• Familiarity with mainstream deep learning frameworks (PyTorch, TensorFlow) and model deployment tools (e.g., Docker, FastAPI, TensorRT) is preferred
• Experience with vector databases (e.g., Milvus, FAISS, Pinecone) or data pipeline tools is a plus
• Ability to communicate complex technical ideas to non-technical stakeholders in a clear and accessible manner
• Self-driven, innovative, and collaborative, with strong communication and presentation skills; able to bridge business and technical audiences
• Fluency in both English and Mandarin to collaborate with international stakeholders and headquarters-based teams
• A passion for exploring new technologies and a proactive approach to solving complex engineering challenges.

Job Duties & Responsibilities:

1. Work with large and complex financial datasets to develop end-to-end data science solutions for pricing various financial products, dynamic campaign optimization, and customer personalization.
2. Conduct research and literature review to assess and evaluate trade-offs between different quantitative algorithms and models.
3. Implement and train AI/ML models and optimize algorithm efficiency (GPU distributed computing, concurrent programming)
4. Refactor and document code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems, and perform sub-system integration as required.
5. Integrate solutions into enterprise MLOps ecosystem and automate CI/CD pipelines for model lifecycle maintenance and monitoring.

Requirements:

1. Good understanding of the data science production life cycle with demonstrable experience working with structured, semi-structured and unstructured data.
2. Excellent software skills (Python, SQL variants) and knowledge in design patterns, code optimization, object-oriented programming.
3. Experience applying quantitative and machine learning algorithms for pricing and marketing.
4. Demonstrable expertise in some of the following domains - econometrics, statistical modelling, time-series analysis, signal processing, reinforcement learning, estimating causal relationships/ counterfactual effects, dynamic pricing.
5. Solid understanding of foreign exchange markets, including knowledge of currency pairs, market dynamics, and key drivers.
6. Hands-on experience in designing and executing digital campaigns and experimentation (A/B, Multivariate, Bandits, Sequential, quasi-experiments), evaluation methodologies (DiD variants), and conducting experiments to optimize campaign performance.

Job Title: Data BAU Lead

Responsibilities:

We are looking for a seasoned BAU Lead - Data Engineering to lead our data operations and support function in a cloud-first environment. The ideal candidate will bring strong technical leadership, hands-on expertise in AWS and Snowflake, and proven experience in managing Business-As-Usual (BAU) data platforms, production support, and continuous improvement initiatives.

▪ Develop tools to improve data flows between internal/external systems and the data lake/warehouse. 

▪ Work with stakeholders to understand needs for data structure, availability, scalability, and accessibility. 

▪ Build robust and reproducible data ingest pipelines to collect, clean, harmonize, merge, and consolidate data sources. 

▪ Understanding existing data applications and infrastructure architecture 

▪ Build and support new data feeds for various Data Management layers and Data Lakes

▪ Evaluate business needs and requirements. 

▪ Support migration of existing data transformation jobs in Oracle, and MSSQL to Snowflake. 

▪ Lead the migration of the existing data transformation jobs in Oracle, Hive, Impala etc. into Spark, Python on Glue etc. 

▪ Able to document the processes and steps. 

▪ Develop and maintain datasets. 

▪ Improve data quality and efficiency.

▪ Lead Business requirements and deliver accordingly. 

▪ Collaborate with Data Scientists, Architect and Team on several Data Analytics projects.

▪ Collaborate with DevOps Engineer to improve system deployment and monitoring process. 

▪ Experience in critical production support and how the BAU functions is preferred.

Requirements Key Skills: 

▪ Lead a team of data engineers in managing day-to-day BAU operations, production support, incident management, and platform stability.

▪ Strong AWS knowledge in terms of designing new architecture and providing optimized solutions for existing ones. (S3, Glue, DMS, MWAA, AMS, IAM).

▪ In-depth knowledge with respect to Snowflake and its architecture.

▪ Prefer prior Experience in BAU environment.

▪ Good knowledge on Airflow and MWAA.

▪ Hands-on experience in SQL/Python/Pyspark.

▪ Expertise in optimizing techniques in cloud environments.

▪ Should have the vision on data strategy and able to deliver the same. 

▪ Should be able to lead the design and implementation of data management processes, including data sourcing, integration, and transformation. 

▪ Able to manage and lead a team of data professionals, providing guidance, 

mentoring and foster a collaborative and innovative team culture focused on continuous improvement.

▪ To evaluate and recommend data-related technologies, tools, and platforms. 

▪ Collaborate with IT teams to ensure seamless integration of data solutions.

▪ Should have experience in Implementing and enforcing data security 

protocols and ensure compliance with relevant regulations.

Required Qualifications: 

▪ At least 8+ years of Data Engineer Experience

▪ At least 5+ years of recent hands-on professional experience (actively coding) working as a Lead handling support & production issue.

▪ 2+ experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred.

▪ At least 3+ years of experience in ETL (AWS Glue), Amazon S3, Amazon RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step Functions.

▪ Professional experience working in an agile, dynamic and customer-facing environment is required.

▪ Understanding of distributed systems and cloud technologies (AWS) is highly preferred. 

▪ Understanding of data streaming and scalable data processing is preferred to have. 

▪ Strong knowledge in scripting languages like SQL ,Python, UNIX shell and Spark is required. 

▪ Understanding of RDBMS, Data ingestions, Data flows, Data Integrations etc.

▪ Technical expertise with data models, data mining and segmentation techniques.

▪ Experience with full SDLC lifecycle and Lean or Agile development methodologies.

▪ Knowledge of CI/CD and GIT Deployments.

▪ Ability to work in team in diverse/ multiple stakeholder environment. 

▪ Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams

If you are keen to explore the above role, please send across your updated resume to Mani.Sathis@helius-tech.com and we can discuss to proceed further.

EA Personnel Registration Number: R1112410

Singapore Employment Agency Licence No: 11C3373

Role: Data Engineer - Databricks & Python

Relevant Experience Required: 4 Years 

Job Description: 

Data Transformation

• Query, clean, and transform datasets using SQL and Python on the Databricks platform.
• Ensure data quality and consistency across systems in accordance with government Instruction Manual (IM8) standards.

Analytics & Dashboard Development

• 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.

Documentation & Knowledge Management

• 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.

Additional Opportunities

• Explore and prototype automation solutions to streamline repetitive or manual workflows.
• Develop project management competencies, including:
• Creating user stories and acceptance criteria
• Managing JIRA tickets and sprint tasks
• Writing and executing QA test cases

Competencies & Requirements

Required Skills

• 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.

Additional Skills Preferred

• 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.

Soft Skills

• Strong 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 are seeking an experienced Senior Data Analyst to lead the build and operationalisation of a robust data management platform across the region. This is a hands-on role suited for someone passionate about designing scalable data infrastructure and delivering reliable, production-grade data pipelines.

Experience with Microsoft Fabric is advantageous, but not required—candidates with strong data engineering fundamentals and a willingness to learn new technologies are encouraged to apply.

Data Platform & Pipeline Engineering

• Design, build, and optimise end-to-end data pipelines to ingest, process, and transform data from diverse regional.
• Develop scalable and maintainable data ingestion frameworks and processing patterns
• Establish a robust, high-performing data architecture to support analytics and downstream use cases

Data Management, Quality & Governance

• Embed data quality checks, validation rules, and monitoring within data pipelines
• Implement and support data governance practices including data lineage, metadata management, and access control (e.g., via tools like Microsoft Purview)
• Define and enforce data ownership, stewardship, and governance standards across the region
• Ensure compliance with internal policies and regional data regulations
• Collaborate with global data teams to align on governance frameworks, KPIs, and best practices

• Develop and maintain curated data layers and semantic models to support reporting and analytics needs

• Partner with business stakeholders to translate requirements into scalable data models
• Ensure consistency and standardisation of KPIs and reporting outputs across the region
• Support migration or integration of existing reporting platforms where relevant

Requirements/skills

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
• Strong hands-on experience in building and managing data pipelines and data platforms
• Solid understanding of data modelling, data governance, and data quality best practices
• Exposure to cloud-based data platforms; familiarity with Microsoft Fabric or similar modern data platforms is a plus
• Proven ability to work in a fast-paced environment and adapt to new tools and technologies

EA License No. 01C4394

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at https://www.persolsingapore.com/. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

Diversity & Inclusion​

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​

Responsibilities

About the team

PDPO(Privacy and Data Protection Office) is the organization to lead, supervise, and empower all TikTok's privacy work in an accountable and industry leading way. This team is the expert in the landscape of privacy risks and passionate about consulting across the company on implementing the proper safeguards and technical mitigations to ensure that our users’ privacy is honored across the TikTok's products and platforms. With the rapid development of AI technologies, the team also drives AI compliance governance work, integrating privacy-by-design and AI principles into the full lifecycle of AI products and services.

What you’ll do:

• Responsible for the risk identification, evaluation, governance, improvement and tracking of data protection, to address data protection pain points in business such as e-commerce, video creation, education, international payment, etc., and cooperate with the legal team to transform legal compliance requirements into solutions, deal with corresponding risks, and further precipitate into standard compliance programs and guidelines to improve business compliance efficiency.
• Responsible for the implementation of the company's privacy protection program and AI compliance frameworks.
• Promote the implementation of the company's privacy protection and AI compliance programs; drive the development of data security, privacy protection, and AI compliance automation tools.
• Participating in technical and compliance discussions with engineering and information security peers. Track and benchmark the latest international legal and regulatory requirements on AI, continuously promote the rectification of data, privacy, and AI compliance gaps.
• Establishing and promoting both process and technical systems of business privacy protection, and ensure the risk convergence and privacy protection technology landing in business scenarios.

Minimum Qualifications:

• Industry experience in driving change in technology companies, with a focus on privacy or AI compliance.
• Bachelor degree or above in information security, computer science, information system, law, AI, data science or related majors, or equivalent work experience.
• Privacy protection and AI compliance related experience, with solid background knowledge of enterprise security, AI technology, and compliance management.
• Privacy certifications from bodies such as the IAPP are preferred, including: CIPP/E, AIGP and etc.
• Familiar with domestic and international laws and regulations, such as cybersecurity law, GDPR, HIPAA, etc.

Preferred Qualifications:

• Proficiency in PIA/DPIA methodologies, with experience in presiding over or participating in privacy-by-design work for AI systems (e.g., generative AI, recommendation algorithms). •Participated in GDPR, CCPA, ISO27001, ISO27701 initiatives and AI compliance projects (e.g., AI system compliance assessment, algorithm transparency implementation).
• Deep understanding of EU AI Act, domestic Generative AI Management Measures, NIST AI Risk Management Framework, and other global AI laws and standards.
• Rich experience in AI compliance, including AI data governance, AI transparency implementation, or AI regulatory engagement.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

Diversity & Inclusion​

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​

Responsibilities

About the team

PDPO(Privacy and Data Protection Office) is the organization to lead, supervise, and empower all TikTok's privacy work in an accountable and industry leading way. This team is the expert in the landscape of privacy risks and passionate about consulting across the company on implementing the proper safeguards and technical mitigations to ensure that our users’ privacy is honored across the TikTok's products and platforms. With the rapid development of AI technologies, the team also drives AI compliance governance work, integrating privacy-by-design and AI principles into the full lifecycle of AI products and services.

What you’ll do:

• Responsible for the risk identification, evaluation, governance, improvement and tracking of data protection, to address data protection pain points in business such as e-commerce, video creation, education, international payment, etc., and cooperate with the legal team to transform legal compliance requirements into solutions, deal with corresponding risks, and further precipitate into standard compliance programs and guidelines to improve business compliance efficiency.
• Responsible for the implementation of the company's privacy protection program and AI compliance frameworks.
• Promote the implementation of the company's privacy protection and AI compliance programs; drive the development of data security, privacy protection, and AI compliance automation tools.
• Participating in technical and compliance discussions with engineering and information security peers. Track and benchmark the latest international legal and regulatory requirements on AI, continuously promote the rectification of data, privacy, and AI compliance gaps.
• Establishing and promoting both process and technical systems of business privacy protection, and ensure the risk convergence and privacy protection technology landing in business scenarios.

Minimum Qualifications:

• Industry experience in driving change in technology companies, with a focus on privacy or AI compliance.
• Bachelor degree or above in information security, computer science, information system, law, AI, data science or related majors, or equivalent work experience.
• Privacy protection and AI compliance related experience, with solid background knowledge of enterprise security, AI technology, and compliance management.
• Privacy certifications from bodies such as the IAPP are preferred, including: CIPP/E, AIGP and etc.
• Familiar with domestic and international laws and regulations, such as cybersecurity law, GDPR, HIPAA, etc.

Preferred Qualifications:

• Proficiency in PIA/DPIA methodologies, with experience in presiding over or participating in privacy-by-design work for AI systems (e.g., generative AI, recommendation algorithms). •Participated in GDPR, CCPA, ISO27001, ISO27701 initiatives and AI compliance projects (e.g., AI system compliance assessment, algorithm transparency implementation).
• Deep understanding of EU AI Act, domestic Generative AI Management Measures, NIST AI Risk Management Framework, and other global AI laws and standards.
• Rich experience in AI compliance, including AI data governance, AI transparency implementation, or AI regulatory engagement.

• CAT-1 cleared/eligible candidate is required for this role.
• Possess a degree in Computer Science/Information Technology or related fields.
• Experience in data warehouse or data mart operations.
• Experience in data analysis.
• Experience in managing data reconciliation/quality checks by SLA (implementation, monitoring and troubleshooting).
• Able to handle data issue management.
• Proficient inOracle PLSQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Provide documentation support in technical/functional specifications.
• Possess investment data domain knowledge.
• Good problem solving and logical thinking.

Job Description

We are seeking an experienced Lead Data Integration & ETL Engineer to design, develop, and support enterprise-scale data integration solutions for banking and financial services clients.

The successful candidate will lead technical delivery teams, provide architectural guidance, and ensure the successful implementation of ETL and data warehousing solutions using modern data technologies.

Key Responsibilities

• Lead the design and development of ETL/Data Integration solutions.
• Manage end-to-end data migration and integration projects.
• Work closely with business stakeholders, architects, and project managers.
• Develop and optimize ETL processes using Talend and other data integration tools.
• Ensure data quality, governance, and compliance standards are met.
• Provide technical leadership and mentoring to junior team members.
• Support production deployments and resolve technical issues.
• Participate in solution design, code reviews, and best practice implementation.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related discipline.
• Minimum 12 years of experience in Data Integration, ETL, and Data Warehousing.
• Strong hands-on experience with Talend ETL.
• Experience with SQL, Oracle, Hadoop, Spark, Hive, or related Big Data technologies.
• Experience in Banking or Financial Services domain is preferred.
• Strong analytical, problem-solving, and communication skills.
• Experience leading technical teams and managing project deliverables.

Job Description

We are seeking an experienced Lead Data Integration & ETL Engineer to design, develop, and support enterprise-scale data integration solutions for banking and financial services clients.

The successful candidate will lead technical delivery teams, provide architectural guidance, and ensure the successful implementation of ETL and data warehousing solutions using modern data technologies.

Key Responsibilities

• Lead the design and development of ETL/Data Integration solutions.
• Manage end-to-end data migration and integration projects.
• Work closely with business stakeholders, architects, and project managers.
• Develop and optimize ETL processes using Talend and other data integration tools.
• Ensure data quality, governance, and compliance standards are met.
• Provide technical leadership and mentoring to junior team members.
• Support production deployments and resolve technical issues.
• Participate in solution design, code reviews, and best practice implementation.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related discipline.
• Minimum 12 years of experience in Data Integration, ETL, and Data Warehousing.
• Strong hands-on experience with Talend ETL.
• Experience with SQL, Oracle, Hadoop, Spark, Hive, or related Big Data technologies.
• Experience in Banking or Financial Services domain is preferred.
• Strong analytical, problem-solving, and communication skills.
• Experience leading technical teams and managing project deliverables.

Role Overview:
We are looking for a Principal Systems Analyst, Data Platform to support the stability, modernisation, and continuous improvement of enterprise data platforms. The role will oversee data platform operations, release management, performance monitoring, service improvement, and governance across data warehousing, ETL pipelines, analytics environments, and cloud-based platforms.

The successful candidate will play a key role in driving platform modernisation, including cloud adoption, AI-driven automation, CI/CD implementation, and scalable analytics solutions. This role will also provide technical leadership, mentor team members, and work closely with stakeholders to ensure data platforms remain secure, reliable, compliant, and aligned with business needs.

Key Responsibilities:
1) Operations & Service Management

• Oversee the stability, scalability, and reliability of enterprise data platforms.
• Ensure smooth integration of data warehousing, ETL pipelines, and analytics environments.
• Act as the subject matter expert for troubleshooting and resolving complex data platform issues.
• Monitor platform performance, availability, and capacity to identify and mitigate operational risks.

2) Service Improvement & Strategy

• Evaluate existing data platform capabilities and recommend improvements to enhance performance and efficiency.
• Drive modernisation initiatives, including cloud-native services and AI-driven automation.
• Align data platform strategy with organisational goals for digital transformation and advanced analytics.
• Identify opportunities to improve platform operations, automation, governance, and user adoption.

3) Release, Change, Performance & Availability

• Manage release cycles, upgrades, and change requests across data platform components.
• Implement and support CI/CD pipelines to streamline deployments and reduce downtime.
• Monitor platform performance, availability, and capacity trends.
• Proactively identify risks and recommend improvements to platform resilience and reliability.

4) People & Technical Leadership

• Provide technical leadership and mentorship to analysts, engineers, and consultants supporting the data platform.
• Collaborate with cross-functional teams to ensure platform solutions meet business and operational needs.
• Lead stakeholder workshops and training sessions to improve data literacy and platform adoption.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.

5) Governance, Risk & Compliance

• Ensure compliance with data governance frameworks, privacy regulations, and industry standards.
• Establish and maintain documentation, audit trails, and policies for platform operations and automation workflows.
• Identify and mitigate risks relating to data integrity, platform reliability, security, and compliance.

Requirements:

• Strong experience in systems analysis, SQL, data warehousing, data platforms, and business intelligence tools.
• Hands-on experience with BI tools such as Qlik, Tableau, or Power BI.
• Proficiency in Python, machine learning concepts, and MLOps practices for scalable analytics solutions.
• Experience with RPA tools such as UiPath and Microsoft Power Platform, including Power Automate, Power Apps, and Microsoft Fabric.
• Strong understanding of ETL, data modelling, and data governance frameworks.
• Exposure to CI/CD pipelines and cloud data platforms such as Azure Synapse, AWS Redshift, or Google BigQuery.
• Excellent communication, stakeholder management, and data storytelling skills.
• Healthcare domain experience will be advantageous.
• PMP or Scrum Master certification will be advantageous.
• Experience in AI/ML-driven automation and advanced analytics use cases will be advantageous.

Preferred:

• Healthcare domain experience
• PMP or Scrum Master certification
• Experience in AI/ML-driven automation and advanced analytics use cases

We're building an AI-powered research platform for institutional investors. Our platform turns vast amounts of market, alternative, and proprietary data into actionable intelligence — powered by AI agents that depend on clean, reliable, real-time data to do their job.

We need someone to own data. Not manage a team that does data. Own it — from finding the right sources, to getting them flowing, to making sure they stay healthy at scale.

Today we ingest from hundreds of sources. That number is growing fast. The sources are diverse: real-time market feeds, regulatory filings, news, social sentiment, alternative datasets, and proprietary client data. Some are free APIs. Some are $10K/month enterprise contracts. Some are clients pushing their own data into our platform. Every one of them is different, and most of them will break in ways you don't expect.

You'll evaluate vendors, negotiate deals, build integrations, monitor quality, track costs, and make the call on what's worth paying for. When something breaks at 2 AM, you'll know why before the alert finishes firing.

This is an end-to-end ownership role. No handoffs.

Responsibilities

• Build and maintain integrations with a large and growing number of external data sources — APIs, WebSockets, file drops, streams, scrapers, and formats you haven't seen yet
• Evaluate and compare data vendors across quality, reliability, coverage, cost, and terms of service
• Negotiate contracts and manage commercial relationships with data providers
• Design and operate high-throughput ingestion pipelines handling mixed workloads (real-time, near-real-time, batch, event-driven)
• Build monitoring that tells you — before anyone else — when data is late, wrong, incomplete, or drifting
• Manage data quality at scale: anomaly detection, cross-source validation, schema drift detection, gap filling
• Handle both structured data (time-series, tabular) and unstructured data (documents, text, images) with appropriate extraction and storage
• Track costs per source, usage per consumer, and ROI — recommend what to keep, upgrade, or cancel
• Build tooling that makes adding the next data source faster than the last one
• Use AI tools aggressively in your daily work — for code generation, testing, documentation, anomaly analysis, and anything else that makes you faster

Requirements

You've done this before:

• 5+ years building data pipelines that run in production, 24/7, with real SLAs
• Deep hands-on experience with SQL databases and time-series data
• Python as your primary language, comfortable with async programming
• You've integrated with dozens of external APIs and dealt with the reality of unreliable vendors, changing schemas, rate limits, and bad documentation
• You've built monitoring and alerting for data systems — not as an afterthought but as part of how you work

You think about the whole picture:

• You don't just connect to an API. You think about what happens when it goes down, when the schema changes, when the data is wrong, when the bill doubles
• You understand that data has a cost and a value, and not every source is worth keeping
• You've worked with data vendors commercially — contracts, pricing tiers, usage negotiations

You use AI daily:

• AI coding tools are part of your workflow today, not something you're curious about
• You can articulate specifically how AI makes you faster and where it doesn't help
• You'd be frustrated if you couldn't use AI in your work

Nice to have

• Experience with financial market data
• Experience with streaming systems (Kafka or similar) at scale
• Vector database or embedding pipeline experience
• Experience with unstructured data extraction (PDFs, documents, NLP)

Perks & Benefits

• Senior individual contributor role with full ownership of the data domain
• Direct access to leadership — no bureaucracy, fast decisions
• AI tools provided and encouraged across all work
• Remote-friendly, async-first
• Compensation commensurate with experience

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

As a Data Scientist (Smart Manufacturing and AI) at Micron, you will leverage advanced techniques from mathematics, statistics, and information technology to improve semiconductor product quality, yield, and productivity. You will develop predictive models, actionable insights, and AI-enabled solutions that address large-scale manufacturing and quality challenges involving die-level, wafer-level, test, and quality/customer-related data.

Your work will directly help prevent customer-impacting quality events, reduce escapes, accelerate root-cause analysis and corrective actions, detect distribution shifts in manufacturing and field signals, and enable intelligent automation across Micron’s global fabs, bridging factory learning with customer-facing product quality outcomes.

Responsibilities and Tasks

Product Quality (PQ) Predictive Solutions:

• Build and productionize ML models (classification/regression) for product-quality prediction (e.g., escape prevention, failure-mode prediction, risk scoring) across manufacturing and post-manufacturing data.

• Develop anomaly and drift detection/monitoring (e.g., Isolation Forest, autoencoders/VAEs) to identify emerging quality signatures in fab, test, and field/customer signals.

• Apply text analytics (embeddings, clustering, classification, summarization) to quality narratives, customer feedback, FA notes, and engineering logs.

Agentic AI Development:

• Contribute to the design and implementation of multi-agent systems for PQ workflows, including automated root-cause analysis and process optimization.

• Optimize for performance, latency, and token efficiency.

• Assist in implementing tool-using capabilities, function calling, and agent memory systems.

• RAG-LLM Development: Develop advanced retrieval strategies including hybrid search, re-ranking, and contextual compression.

Software Engineering and Productionalization:

• Develop robust, maintainable code and analytical pipelines suitable for high-volume manufacturing environments.

• Optimize system performance, latency, and token efficiency.

• Collaborate with senior team members on testing, deployment, and monitoring.

• Clearly communicate analytical insights, model behavior, and trade-offs to both technical and non-technical customers to enable data-driven decisions.

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.​

• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.​

Required Qualifications & Skills

Education/Experience:

• Bachelor’s in Computer Science, Data Science, Operations Research, Mathematics, or a related highly quantitative field.

• Strong desire to grow a career as a Data Scientist in advanced, highly automated industrial manufacturing.

Technical Skills:

• Proficiency in Python and experience extracting and manipulating data using SQL.

• Solid foundation in statistics and machine learning (supervised/unsupervised learning, model evaluation, feature engineering).

• Experience with SQL for data extraction and manipulation.

• Experience with version control (Git).

• Familiarity with building interactive data applications or dashboards (e.g., Streamlit, PowerBI, or similar).

• Strong verbal and written communication skills, with the ability to explain complex analytical results clearly.

• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes

Preferred Qualifications

• Exposure to LLMs, agentic AI frameworks, or RAG pipelines (internship experience, academic, or personal projects welcome).

• Experience with time-series data, process/manufacturing data, or handling concept drift/imbalanced datasets.

• Familiarity with cloud platforms (Google Cloud Platform, AWS, or Azure) and data visualization tools (Tableau, Power BI).

• Exposure to ETL tools, containerization (Docker), or web frameworks (Angular, React, FastAPI).

The Data Center Operations Engineer is responsible for the daily operation, maintenance, and optimization of data center infrastructure, including electrical, HVAC, and ELV systems. This role ensures facility reliability, safety, and efficiency through proactive monitoring, risk management, and continuous improvement.

Perform daily operation, maintenance, and routine inspectionsprovement. The position requires hands-on technical ability, strong analytical skills, and strict adherence to operational and emergency procedures.

Perform daily operation, maintenance, and routine inspectionsprovement. The position requires hands-on technical ability, strong analytical skills, and strict adherence to operational and emergency procedures.

of data center electrical, HVAC, and ELV systems, ensuring stable and continuous operation.

Execute scheduled preventive maintenance (PM) plans and handle system faults promptly and accurately.

Conduct facility safety, risk, capacity, and availability management, continuously optimizing systems to improve operational efficiency and cost-effectiveness.

Maintain infrastructure data accuracy (100%), regularly check alarm configurations, and ensure monitoring platform stability and reliability.

Conduct facility inspections per company requirements, including equipment status checks, MOP (Method of Procedure) review, and maintenance tracking.

Respond rapidly to incidents and emergencies following EOP (Emergency Operation Procedures) and incident management standards; provide on-site support and reporting.

Analyze root causes of incidents, conduct post-event reviews, and summarize lessons learned for continuous improvement.

Familiarize with the power distribution, cooling, and ELV architecture within assigned data centers; quickly locate and resolve faults when issues occur.

Prepare and implement change MOPs independently, ensuring no incidents result from planned changes.

Participate in optimization and upgrade projects, ensuring smooth on-site execution and coordination.

Propose technical improvements or modification plans for infrastructure monitoring, capacity, safety, and availability.

Provide technical guidance, mentorship, and training for frontline operation staff.

Ensure quick response and arrival per incident management policy.

Strictly comply with all operational procedures, safety policies, and company regulations.

Complete other assignments as defined in the Service Contract, Outsourcing Specification, or as required by the company or project team.
Qualifications

Education: Full-time college diploma or above (Associate Degree or higher).

Major: Electrical Engineering, HVAC, or other related disciplines.

Experience: Minimum 3 years of relevant experience in data center facility operation and maintenance.

Strong understanding of data center infrastructure systems, including electrical distribution, cooling, ELV, and monitoring systems.

Familiar with mainstream facility brands and models, capable of identifying differences and proposing optimization suggestions.

Demonstrated ability to conduct root cause analysis and implement effective preventive actions.

Capable of independent MOP preparation and execution with zero error rate.

At Alcon, we are driven by the meaningful work we do to help people see brilliantly. We innovate boldly, champion progress, and act with speed as the global leader in eye care. Here, you’ll be recognized for your commitment and contributions and see your career like never before. Together, we go above and beyond to make an impact in the lives of our patients and customers. We foster an inclusive culture and are looking for diverse, talented people to join Alcon.

As a Data Scientist under Manufacturing Science & Technology (MS&T) Department, you will be primarily responsible for driving automation initiatives within the Manufacturing Science & Technology team by managing system changes, enhancements, and validations while ensuring compliance with project documentation and SOPs. Supports SMART manufacturing projects through data analysis, reporting tool administration, and system support to enable efficient, data-driven operations.

In this role, a typical day will include:

• Manage system change and related enhancement/bug fix, review project documentation and related SOPs and perform system validation
• Analyzes data to generate insights and predictions
• Maintain, support and administrate reporting tool and related applications.
• Lead and support SMART Manufacturing/Automation initiatives related projects. Develop/review project documentations and related SOPs.
• Perform system/software validation

WHAT YOU’LL BRING TO ALCON:

• Bachelor degree of related fields (computer science or equivalent)
• Proficient in any programming language is required for this role
• Minimum 3 - 5 years relevant working experience in IT software development lifecycle, system implementation and system maintenance and supports.
• Hands on knowledge on automation engineering, PLC/SCADA/MES systems, Microsoft SQL/Oracle/Access database/Python/R/Microsoft Visual Basic/C#/ASP.net programming and IT (Infrastructure and Network).
• Knowledge on 21 CFR Part 11 (computerized system validation) is preferred but not a MUST
• Training will be provided for those without experience

HOW YOU CAN THRIVE AT ALCON:

• Good team player
• Enjoy working with various cross functional team across manufacturing site

Alcon Careers

See your impact at alcon.com/careers

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

As a Data Scientist at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.

In This Role You Will Have The Following Responsibilities

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets and to deliver meaningful end-to-end solutions for users.

• Experience in the areas: computer vision, statistical modeling, deep learning, generative AI, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.

• Design and deploy computer vision models for object detection, image segmentation and anomaly detection.

• Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems.

• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.

• Coordinate production deployment activities, including cross-functional communications, approval and execution of changes in live environments.

• Strong verbal and written communication skills.

Required Qualifications and Technical Experience

• Mater/PHD Degree in Operation Research, Industry Engineering, Statistics with a strong academic foundation in linear programming and optimization

• Minimum 3 years of experience in operation research/optimization, preferably has working experience in the semiconductor industry and have applied optimization techniques in their daily work

• Strong foundation in Linear programming optimization modeling, advanced analytics, and  machine learning techniques.

• Ability to extract data from multiple databases using SQL and other query languages, including experience with data cleansing, outlier detection, and handling missing data.

• Strong proficiency in Python and linear programming, SQL, C#

• Proficiency in data visualization tools such as Tableau, Power BI, and related techniques.

• Proficiency in web development technologies, including Angular, FastAPI, and Docker.

• Up till $3,500 Basic + Bonus

• 5 days work week

• No experience welcomed
  

Our Client, a leading supplier of sensors, measuring systems, laser markers, microscopes, and machine vision systems worldwide, is inviting qualified candidates to fill the position as Data & Marketing Officer.

RESPONSIBILITIES:

• A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance

• Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and Keyence’s own software

• Not just updating existing data, but using it to guide sales direction and actions

• In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all B2B marketing initiatives
  

REQUIREMENTS:

• Degree in Marketing, Business and Engineering

• At least 1 year of relevant experience

• No experience are welcomed to apply

• No data analysis experience is fine as long willing to learn

• Must possess proficiencies in Excel and PBI/Tableau.

• Power Automate will be a plus

About the Role

Exceptional Chief Operating Officer to lead data centre operations and drive construction and engineering excellence across Southeast Asia. This strategic leadership position will be instrumental in scaling our data centre network and operational capabilities during an exciting period of regional expansion.

As COO, you will oversee all internal operations, manage complex infrastructure environments, and lead high-performing teams to deliver world-class data centre facilities that meet the growing demand for digital infrastructure in the region.

Responsibilities

• Provide strategic leadership for all operational aspects of multi-site data centre facilities across Southeast Asia.
• Oversee construction and engineering functions, ensuring projects are delivered on time, within budget, and to the highest quality standards.
• Drive operational efficiency and excellence across all facilities, implementing best practices and continuous improvement initiatives.
• Lead and develop cross-functional teams across operations, engineering, construction, and facilities management.
• Manage significant operational budgets and optimize resource allocation.
• Establish and maintain hyperscale operational standards aligned with industry best practices.
• Champion innovation in data centre technologies, including AI-centric environments and advanced cooling solutions.
• Build and maintain strong relationships with key stakeholders, vendors, and partners.
• Ensure compliance with all regulatory, safety, and environmental requirements.
• Develop and execute operational strategies that support the company's growth objectives.

Requirements

• Minimum 12 years of progressive leadership experience in multi-site data centre operations
• Bachelor's or Master's degree in MEP (Mechanical, Electrical, Plumbing) Engineering, Building Services, or related engineering discipline
• Proven track record of successfully delivering data centre construction projects, including both new-build and renovation projects
• Strong technical expertise in data centre infrastructure, including: Electrical power systems and distribution HVAC and cooling systems
• Deep knowledge of MEP systems and hyperscale data centre standards
• Demonstrated experience managing large operational budgets and P&L responsibility
• Direct Liquid Cooling (DLC) technologies, AI-optimized data centre environments, IT infrastructure and network systems

Preferred Qualifications

• Professional certifications in data centre management (e.g., CDCP, CDCS, CDCE)
• Certifications in facilities management or IT infrastructure (e.g., CFM, ITIL)
• Experience with Tier III or Tier IV data centre facilities
• Knowledge of sustainability initiatives and green data centre practices

What We Offer

• Opportunity to lead operations for a growing data centre platform in Southeast Asia
• Strategic C-level role with significant impact on company direction
• Work with cutting-edge data centre technologies and infrastructure
• Singapore (with regional travel across Southeast Asia required)

How to Apply: Click  Apply Now or send your resume directly to Talent@BuildBridgePartners.com

EA Details:

EA Name: BuildBridge Partners Pte Ltd

EA License No: 25C2918

EA Reg No: R1551092 Khoo Yan Jie

https://buildbridge-partners.careers-page.com/jobs/bd26b8d8-7789-4b7c-b3c2-54c6c190f255

Data Governance & Reporting Automation Consultant (Banking)

My client is a leading consulting firm in Asia supporting top-tier enterprise institutions on large-scale data and regulatory transformation initiatives. They are currently looking for a Data Governance & Reporting Automation Consultant to join a major enterprise program.

What You’ll Do

• Drive data governance initiatives including KDE identification, data lineage, EUC inventory, and process mapping

• Lead automation of regulatory reporting processes using Alteryx and related tools

• Replace manual Excel/Access workflows with scalable, system-driven solutions

• Redesign reporting processes in line with BCBS239 principles

• Partner with Finance, Risk, and IT teams to deliver end-to-end solutions

• Facilitate workshops and support stakeholder adoption

• Manage project deliverables, timelines, and stakeholder reporting

What We’re Looking For

• 5+ years of experience in banking / financial services / consulting, with at least 3+ years in Management Consulting

• Strong background in data governance, regulatory reporting, or data management

• Hands-on experience with Alteryx (automation, workflow design) is highly preferred

• Good understanding of finance/risk reporting and BCBS239

• Experience working across business & IT stakeholders

• Strong communication, documentation, and project management skills

Nice to Have

• Experience with data lineage tools (e.g., Collibra)

• Exposure to BI tools (Power BI, Tableau)

• Background in process improvement / BPR initiatives

Raymond Ler (R1876114)

JAC Recruitment Pte. Ltd. (90C3026)

About Our Client

Our client is a regional data centre solutions provider that merges engineering excellence with sustainability to deliver world-class facilities across Asia.

Their integrated approach covers concept design to operation, with a focus on energy efficiency, scalability, and high-density computing readiness.

How to Apply

Leader in data centre development, delivering high-performance, mission-critical facilities across APAC. They are seeking a Head of Regional Engineering – Data Centres to lead engineering practices, standardise design approaches, and drive innovation across greenfield and brownfield projects.

This is a strategic leadership role, overseeing multidisciplinary teams, guiding design and delivery, and ensuring operational efficiency, sustainability, and technical excellence across multiple projects and countries.

Leadership & Strategy

• Lead and mentor a team of engineering specialists, project managers, and energy managers across the region.

• Foster a culture of creativity, collaboration, innovation, and technical excellence.

• Participate in strategic planning with senior stakeholders to align engineering outcomes with business objectives.

• Support the attraction and recruitment of top-tier engineering and project management talent.

Data Centre Development & Engineering Oversight

• Oversee greenfield and brownfield data centre projects from site selection, design, tender, construction, to commissioning.

• Engage and manage consultants (Architect, M&E, C&S, Energy, etc.), overseeing design development, cost estimates, and tender processes.

• Provide technical leadership for complex M&E systems, identifying single points of failure and resolving engineering challenges in cooling, power, and mission-critical systems.

• Drive research and adoption of new technologies and construction methodologies to improve energy efficiency, water usage, operational productivity, and sustainability.

Project Delivery & Financial Oversight

• Review and monitor project budgets, cost control, and financial performance.

• Ensure projects are delivered on time, within scope, and aligned with business and customer requirements.

• Implement initiatives to optimise PUE, WUE, carbon footprint, and operational efficiency across the data centre portfolio.

Requirements

• Bachelor’s degree in Mechanical, Electrical, Project Management, Architecture, or related discipline.

• 15+ years of professional experience, including 10+ years in data centre development and engineering.

• Proven experience in leading multidisciplinary engineering teams and managing stakeholders across multiple projects/regions.

• Strong M&E expertise with experience in power, cooling, and mission-critical systems.
  
  
  How to Apply: Click Apply Now, or send your resume directly to:  Talent@BuildBridgePartners.com
  
  
  
  
  

• EA Name: BuildBridge Partners Pte Ltd
  EA License No: 25C2918
  EA Reg No: R1551092
  Consultant: Khoo Yan Jie

• Develop and maintain enterprise reporting solutions and business intelligence dashboards for insurance operations. 

• Analyze insurance data across policy, claims, underwriting, customer, finance, actuarial, and regulatory domains. 

• Design and deliver interactive dashboards, reports, and analytics solutions using Power BI, Microsoft Fabric, Qlik Sense/QlikView, and Tableau. 

• Work with business stakeholders to understand requirements and translate them into data-driven insights. 

• Develop KPI dashboards covering premium growth, loss ratio, claims performance, underwriting profitability, customer analytics, and operational metrics. 

• Build and optimize data models, reporting layers, and self-service analytics capabilities. 

• Work with Microsoft Fabric components including Lakehouse, Data Warehouse, One Lake, Dataflows Gen2, Semantic Models, Notebooks, and Pipelines. 

• Support data integration, data warehousing, ETL/ELT processes, data quality, reconciliation, and governance initiatives. 

• Collaborate with underwriting, claims, actuarial, finance, risk, compliance, and technology teams. 

• Minimum 3 years of experience in Data Analytics, Business Intelligence, or Reporting. 

• Hands-on experience in to BFSI domain  

• Strong experience with Power BI, Microsoft Fabric, Qlik Sense/QlikView, and Tableau. 

•  Strong SQL development skills with experience in query optimization. 

• Good understanding of Data Warehousing, Data Modeling, ETL/ELT, and Data Governance concepts. 

• Experience with Azure Data Services and cloud analytics platforms. 

• Knowledge of KPIs such as GWP, NWP, Loss Ratio, Combined Ratio, Claims Leakage, Claims Turnaround Time, and Customer Retention Metrics. 

• Experience with Python, Spark, Databricks, or Machine Learning will be an added advantage. 

• Relevant certifications in Power BI, Microsoft Fabric, Azure Data Engineering, Tableau, Qlik, or Insurance domain are preferred. 

. 

Project Description: We are seeking a skilled and experienced Data Engineer to join our Data & Analytics team. The ideal candidate will have a strong background in Snowflake SQL, investment reporting data, and financial knowledge related to investment management. As a Data Engineer, you will play a critical role in designing, implementing, and maintaining our data infrastructure to support investment reporting and analytics.

Responsibilities:
- Design, implement, and maintain scalable and efficient data pipelines using Snowflake and SQL.
- Develop data models, ETL processes, and data integration workflows to ensure high data quality and reliability.
- Optimize data storage and retrieval performance in Snowflake.

Data Manipulation and Transformation:
- Perform complex data manipulation and transformation using SQL to prepare data for analysis and reporting.
- Implement data cleansing, aggregation, and enrichment processes to ensure data accuracy and consistency.
- Develop and maintain reusable SQL scripts and stored procedures for data processing.

Collaboration and Support:
- Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet their needs.
- Provide technical guidance and mentorship to junior data engineers and other team members.
- Work closely with IT and DevOps teams to ensure seamless data integration and deployment.
- Data Layer Preparation:

Design and build data layers to support various analytical and reporting needs.
- Ensure data layers are well-documented, easily accessible, and performant.
- Implement data governance and security best practices to protect sensitive information.
- Performance Tuning and Optimization:

Monitor and optimize the performance of data pipelines, databases, and queries.
- Identify and resolve performance bottlenecks to ensure timely and efficient data processing.
- Stay up-to-date with the latest trends and best practices in data engineering and apply them to improve our data infrastructure.
Mandatory Skills Description:
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

Experience:
- Minimum of 1-2 years of experience in data engineering, with a strong focus on SQL and data manipulation.
- Proven experience working with Snowflake or other cloud-based data warehousing solutions.
- Experience with Tableau
- Strong background in designing data model and building scalable data pipelines and data models.
- Solid understanding of financial instruments, investment operations, investment reporting and portfolio management concepts.
- Knowledge of investment performance measurement, risk analysis, and portfolio management concepts.

Skills:
- Expert-level proficiency in SQL, with the ability to write complex queries and optimize them for performance.
- Strong experience with ETL tools and processes.
- Familiarity with Tableau
- Knowledge of data governance, security, and compliance best practices.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.

Nice-to-Have Skills Description:
- Familiarity with programming languages such as Python, LLM, Langchain