Total 2,120 Information Technology job vacancies

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.

We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark™, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform).

Below are some example teams you can join:

Data Science and Machine Learning Infrastructure: Build services and infrastructure at the intersection of machine learning and distributed systems. Our technology empowers the flagship collaborative workspace, notebooks, IDE integrations, and project management products. We also enable machine learning at scale with tools for environment management, distributed training, and managing the Machine Learning lifecycle through MLflow.

Compute Fabric: Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way. The software manages millions of virtual machines.

Data Plane Storage: Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.

Enterprise Platform: Offer a simple and powerful experience for onboarding and managing all of their data teams across 10ks of users on the Databricks platform. We do this by building reliable, scalable services and infrastructure with intuitive UIs and by delivering high-impact, cross-cutting projects that drive the "land and expand" strategy for enterprise customers.

Observability: Provide a world class platform for Databricks engineers to comprehensively observe and introspect their applications and services. We build scalable data-intensive infrastructure that processes huge amounts of logs and telemetry. By doing so, we enable teams to become more data-driven and build robust services.

Service Platform: Build high-quality services and manage the services in all environments in a unified way. We provide engineers libraries, tools, services and guidance to develop reliable, scalable, and secure services. We build a unified platform for engineers to deploy and update their services across different clouds and environments.

Core Infra: Build the core infrastructure that powers Databricks, making it available across all geographic regions and Cloud providers. We build highly available distributed systems, heavily utilizing cloud native projects, contributing back whenever possible. We run thousands of Kubernetes clusters across all regions and orchestrate millions of VMs on a daily basis.

Competencies:

• BS/MS/PhD in Computer Science, or a related field

• 10+ years of production level experience in one of: Java, Scala, C++, or similar language

• Comfortable working towards a multi-year vision with incremental deliverables

• Experience in architecting, developing, deploying, and operating large scale distributed systems

• Experience working on a SaaS platform or with Service-Oriented Architectures

• Good knowledge of SQL

• Experience with software security and systems that handle sensitive data

• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes

⇒ Role Summary

Our client is developing an in-house Network Management System (NMS) to support their radio communications products for defence clients.

We are looking for an Application & Network Software Engineer to join the team and help build a proprietary software solution to replace existing vendor software — improving usability, configurability, and long-term product ownership.

This is an immediate requirement with a target start in June 2026.

⇒ Main Responsibilities

• Design, develop and maintain a Windows-based network management application for radio communication systems.
• Build and integrate JSON-based APIs to interface between radio hardware and software applications.
• Migrate and modernise legacy API interfaces to new software architecture.
• Develop intuitive UI/UX to improve usability for end-users in operational environments.
• Support radio configuration tasks — including machine planning, multi-radio combination and deployment configuration.
• Collaborate with hardware engineers on system integration and testing.
• Work with internal stakeholders to gather requirements and validate deliverables.
• Contribute to the evaluation and selection of development approach (open platform integration vs. inhouse build from scratch).

⇒ Qualifications & Experience

• Degree in Computer Science, Software Engineering, Electrical Engineering or related field.
• 3–6 years of experience in software or network application development.
• Strong experience with Windows-based software development.
• Proficiency in JSON-based API design and integration.
• Experience with network management systems or communications software is a strong advantage.
• Familiarity with radio communications protocols or defence/government systems is a plus.
• Able to work across both software and hardware integration tasks.
• Strong problem-solving skills with the ability to work in a fast-paced, ambiguous environment.
• Experience with 5G network systems or configurations.
• Background in defence, public safety or government technology projects.
• Experience with UI/UX design for operational or field-use applications.

Descriptions:
-Must have at least 6 years experiences in network design and implementation, network hardware configuration, network troubleshooting and network performance tuning network and system administration;

 -Must have at least 6years experiences in managing network products such as Cisco, F5, and etc;

- Must have at least 6 years experiences in administering Windows Server and Linux Operating Systems

Responsibilities:
- Must have sound knowledge of various network protocols and topologies, including LAN, WAN, switches, routers and servers;

- Should preferably have experience in managing Network Access Control (NAC) System such as ClearPass, SolarWinds, and Infoblox.

The Programmer shall be required to:

a.Administer and troubleshoot network system infrastructure;

b.Administer and troubleshoot Windows Server and Linux Operating Systems;

c.Perform installation and upgrading of network system and servers;

d.Perform installation of operating systems, software applications and device drivers on the Servers;

e.Perform backup and recovery of network devices and servers;

f.Perform simple scripting in Windows Server and Linux environment;

g.Perform any other tasks related to network and server hardware and software, end-user support and project works as may be assigned by the supervisor;

h. Able to administer Clear Pass Network Access Control, SolarWinds, and Infoblox.

Key Responsibilities:

• Manage RFQ, NPD, NPI, FA and Product Transfer.

• Prepare requisition for order, review supplier offers, make technical bid evaluation if required.

• Liaise and coordinate with customers and other departments pertaining to project activities and order fulfilment

• Work closely with customers on audit, engineering change order

• Responsible for projects transferred from development to operations, ensuring that documents and procedures are in place to independently handle repeat sales orders.

• Monitor and manage Suppliers’ performance to meet delivery, cost and quality targets

• Identify and mitigate program risks and implement risk mitigation plans

• Collaborate with cross-functional team members to meet Key Performance Indicators and Operational deliverables.

• Lead the development of simulation test cases for the verification of process change initiatives.

• Utilize manufacturing and/or business operations experience to quickly frame the operational challenge and visualize a solution

• Support Design, Engineering activities of the day-to-day operations.

• Responsibility & coordination of the complete certification process from application to approval for products

• Creation of technical documentation, e.g. technical drawings (2D drawings and 3D models)

• Knowledge of the supplier landscape and the materials (knowledge of who can manufacture which product)

• Ensuring product compliance, enforce quality assurance protocols and standards

Skills & Qualification:

• Degree/Diploma/Higher Nitec in Electronics/Mechanical/Mechatronics Engineering

• Minimum 1 - 2 years of relevant experience in a manufacturing industry,. Contract manufacturing background will be at advantage

• Experience in communicating with contract manufacturers / suppliers

• Must able to analyse technical drawing/specification

• Experience in SAP system is a plus

• Strong communication and program management skills

• Addresses present issues immediately and independently

• Possess self-confident and willing to share opinions and expertise in discussions

• Able to communicate to all levels in the organization

• Provide support to colleagues in the department and work as a team to achieve departmental goals & targets

Working hours:

Mon to Fri 8.30am - 5.30pm

An established technology organisation is seeking a Senior Software Engineer to design, develop, and deploy modern software applications. This role involves full‑stack development, technical leadership, and collaboration with cross‑functional teams to deliver reliable and scalable systems.

Key Responsibilities

• Design, develop, test, and deploy full‑stack applications using .NET and React
• Build and maintain reusable, scalable, and high‑performance software components
• Participate in system design, technical evaluations, and solution architecture discussions
• Ensure software quality through unit testing and adherence to coding, security, and UX/UI standards
• Prepare and maintain technical documentation, including functional and detailed design specifications
• Collaborate with cross‑functional teams to deliver solutions aligned with business requirements
• Provide technical guidance and mentorship to junior engineers

Requirements

• Bachelor’s Degree in Computer Science, Software Engineering, or related field
• Minimum 8 years of relevant software development experience
• Strong experience in .NET / .NET Core and React
• Experience leading or mentoring software engineering teams
• Solid understanding of software development life cycle and agile methodologies
• Strong analytical, problem‑solving, and communication skills

Technical Skills

• Backend: .NET, .NET Core, Golang
• Frontend: React
• DevOps / Version Control: GitHub, GitLab
• Containerisation: Docker, Kubernetes

Interest & Application

Prepare your updated resume and apply to this role. We'd love to hear from you!

We regret that only shortlisted candidates will be notified.

Aditi Jain | Personnel Registration No. R25129887

Adecco Personnel Pte Ltd | EA License No. 91C2918 

Role Overview

Our client is looking for a skilled and motivated Data Engineer to join the Data & Analytics team. In this role, you will be responsible for designing, developing, and maintaining robust end-to-end data pipelines that power our operational and analytical capabilities.

You will work closely with data analysts, BI developers, data scientists, and business stakeholders to deliver high-quality, reliable data solutions at scale.

Key Responsibilities

Data Pipeline Engineering

• Design, develop, and maintain end-to-end data pipelines for ingesting, transforming, and delivering data from multiple source systems (databases, files, APIs, streaming platforms).

• Build and optimize ETL/ELT workflows using SQL, Python, and enterprise data integration tools.

• Ensure data pipelines are scalable, resilient, and performant to meet operational and analytical requirements.

Database & Data Platform Management

• Work hands-on with RDBMS platforms such as Oracle, DB2, SQL Server, or PostgreSQL for data extraction, transformation, and performance tuning.

• Develop and optimize SQL queries, views, and stored procedures to support reporting and analytics use cases.

• Support data modelling activities (logical and physical) for analytics and reporting layers.

Data Quality, Governance & Operations

• Implement data validation, reconciliation, and monitoring to ensure data accuracy, completeness, and consistency.

• Support operational data activities, including incident investigation, root cause analysis, and remediation.

• Maintain clear documentation for data pipelines, schemas, and operational processes to support audits and knowledge transfer.

Collaboration & Stakeholder Engagement

• Collaborate with business users, product owners, and downstream teams to gather requirements and translate them into technical solutions.

• Work closely with Data Analysts, BI developers, and Data Scientists to enable dashboards, reports, and advanced analytics.

Required Skills & Experience

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.

• Strong hands-on experience with SQL and relational databases (Oracle, DB2, SQL Server, PostgreSQL).

• Experience building and supporting ETL/data pipelines in enterprise environments.

• Solid understanding of data modelling, data quality, and data lifecycle management.

• Ability to troubleshoot data issues and work in production/operational environments.

• Proven experience with Python for data processing or automation.

Preferred / Nice-to-Have

• Experience with data streaming technologies such as Kafka, Apache Spark, or Apache NiFi.

• Familiarity with BI and visualisation tools such as Tableau, Qlik, or Power BI.

• Knowledge of cloud or hybrid data platforms and workflow orchestration tools (e.g. Airflow, Azure Data Factory).

. Knowledge of Agile/DevOps practices and CI/CD for data pipelines

About Innowave Tech Singapore

Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.

Roles & Responsibilities

We are seeking Senior Data Engineer to establish and lead our data infrastructure. The successful candidate will be responsible for building our data engineering practice from the ground up, implementing robust data systems for industrial AI applications, and establishing best practices that will power our semiconductor manufacturing AI solutions.

Your Role and Impact

As our first Senior Data Engineer, you will have a foundational role in building robust data infrastructure to handle manufacturing data and LLM applications, while establishing secure data practices that power our AI solutions for advanced manufacturing operations.

What You’ll Do

1. Select and manage on-premises technologies suitable for secure and efficient operations.
2. Build robust pipelines to collect, clean, and transform diverse datasets including process data, sensor data, image data, and human annotations.
3. Ensure secure, maintainable, and scalable deployment of data infrastructure.
4. Define and enforce best practices in data governance, privacy, and access control.
5. Collaboration & Deployment.

What We’re Looking For

Educational & Background:

• Minimum Poly or Bachelor Degree in Computer Science, Engineering, or a related field.
• Only Singaporean or Singapore PR can apply due to project requirement.

Technical Expertise:

• 3+ years of experience in data engineering roles, ideally with on-premises or hybrid infrastructure.
• Proven track record of building scalable data systems from ground up in a startup environment.
• Proficiency in Python and/or Java for data pipeline development.
• Solid experience with ETL frameworks (e.g., Apache Airflow, Dagster) and streaming systems (e.g., Kafka).
• Experience designing and maintaining SQL and NoSQL databases.
• Experience building and operating data lakes and data catalog.
• Familiarity with containerization (Docker), version control (Git), and CI/CD practices.

Soft Skills:

• Excellent communication skills and ability to collaborate with cross-functional technical and non-technical teams.
• Excellent problem-solving and debugging abilities.
• Ability to balance engineering tradeoffs.

Bonus Skills:

• Experience with manufacturing data systems, especially SPC, SCADA, and industrial sensor protocols (e.g., OPC UA, MQTT, Modbus).
• Familiarity with AI/ML pipelines and tools (e.g., MLflow).
• Knowledge in vector databases and LLM data infrastructure.
• Prior experience working in or with regulated industries (e.g., semiconductor, automotive, aerospace).

What we Offer

• A leading role in cutting-edge AI projects within the semiconductor industry.

• The opportunity to work with an learn from experts in the field of AI and data science.

• A dynamic, innovative, and supportive work environment.

• Competitive salary and benefits package.

• Career growth opportunities in a fast-paces technology company.

about the company

Join a leading Singapore public-sector organization to manage and secure critical, large-scale enterprise network infrastructure.

about the role
In this role, you will be a key pillar in the day-to-day administration and operational health of a robust, multi-vendor network environment. Your mission is to maintain high availability and security across various data centers and remote sites. Your key responsibilities include:

• Overseeing the lifecycle of network and security assets, ensuring consistent 24/7 uptime for critical agency operations.
• Managing complex configurations and troubleshooting for a diverse environment involving high-end routers, switches, and load balancers.
• Hardening network defenses through firewall management (Palo Alto, Check Point) and managing Network Access Control (NAC) protocols.
• Proactively scheduling firmware updates, managing automated backups, and coordinating with stakeholders regarding system availability.
• Leading root cause analysis for network performance issues and collaborating with security governance teams to mitigate risks.
• Assisting the Infrastructure Manager in executing technical projects, change management, and maintaining comprehensive asset documentation.

skills and experience

• Extensive experience with Cisco (ASR/ISR series), F5 Load Balancers, and a variety of Firewall technologies including Palo Alto, Fortinet, and Check Point.
• Strong command over BGP, OSPF, STP, and VRRP, alongside a solid understanding of 3-tier architecture and VPN (IPsec/Remote) setups.
• Hands-on experience with Aruba ClearPass (NAC), IPS/IDS, and proxy solutions. Familiarity with security audits and risk mitigation is highly valued.
• Proficiency in using network performance tools such as SolarWinds, PRTG, or Wireshark for fault analysis and reporting.
• While professional experience is paramount, certifications such as CISM, PCNSE, CCSE, or CCSA will be viewed favorably.
• A methodical approach to troubleshooting and the ability to manage vendor relationships and inventory documentation effectively.

To apply online please use the apply function, alternatively you may contact Dalpreet Kaur at dalpreet.kaur@randstad.com.sg (EA: 94C3609 /R23111951)

Job's mission

As a Senior Principal Engineer in Software Engineering, you will shape the software that directly powers ASM’s advanced packaging and hybrid bonding equipment. Your work will have immediate, visible impact on highly complex semiconductor systems, combining robotics, motion control, thermal systems, and process intelligence. In this role, you will lead software architecture, roadmap definition, and execution across multiple products while growing strong engineering teams and influencing global software strategy.

What you will be working on

• Define and own software development plans and roadmaps for advanced packaging solutions, delivering software across multiple hybrid bonding products in parallel.
• Lead end‑to‑end software development with a strong focus on first‑time‑right quality and robust release execution.
• Drive software architecture decisions that support long‑term business, scalability, and product evolution.
• Plan, manage, and execute multiple software baselines, ensuring on‑time delivery across complex development cycles.
• Collaborate closely with software quality teams to embed quality throughout the development lifecycle.
• Work cross‑functionally with process engineering, hardware engineering, and system integration teams to deliver tightly integrated equipment software.
• Partner with global software engineering leaders to align on software strategy, best practices, and technology direction.
• Measure, maintain, and continuously improve internal customer satisfaction.
• Build, mentor, and grow a strong team of software engineers, fostering technical excellence, ownership, and collaboration.
• Promote disciplined software baseline management, build management, and version control practices.

What we are looking for

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Minimum 10 years of experience in software development and software baseline management.
• Strong hands‑on software development expertise in C++.
• Experience in the semiconductor process equipment industry.
• Exposure to advanced packaging process flows such as CoWoS, SoIC, or InFO.
• Proven experience with customer‑oriented software baseline management and release planning.
• Solid background in modern software technologies and development practices.
• Demonstrated ability to drive software architecture aligned with long‑term business needs.
• Strong ownership mindset with proactive leadership and a customer‑oriented approach.
• Ability to define clear priorities, set ambitious yet realistic goals, and deliver results.
• Experience managing projects, schedules, activities, and resources effectively.
• Hands‑on experience with Jira, build management tools, and Git version control.

What sets you apart

• Experience working in fast‑paced, customer‑driven, and rapidly evolving environments.
• Ability to handle multiple concurrent projects while meeting demanding timelines.
• Strong prioritization skills across complex and competing technical demands.

Role Summary:

We are seeking a hands-on Data Engineer to spearhead our Databricks Proof of Concept (POC) on AWS. You will be responsible for the initial environment setup, security configuration, and designing the framework for our future data platform. Working across diverse AWS and external data sources, you will build a unified, production-ready Databricks environment that validates the platform for broader adoption.

Key Responsibilities:

Platform & Infrastructure Setup

• Configure Databricks workspace integration with AWS (S3, IAM, VPC).
• Design and implement a scalable Medallion Architecture using Delta Lake (Bronze / Silver /Gold layers).
• Build automated ingestion pipelines leveraging Databricks Autoloader.

Data Engineering

• Cleanse and transform raw data from S3, RDS, and APIs into Delta tables.
• Optimize Spark jobs for performance, reliability, and cost-efficiency.
• Connect diverse AWS and external data sources into a unified Databricks environment.

Governance &Evaluation

• Establish data governance standards using Unity Catalog. (Good to have — not a hard requirement for the POC.)
• Configure Databricks Clusters with Autoscaling and Spot Instances to manage AWS spend.
• Define and evaluate POC success metrics covering performance, cost, and ease of use.
• Set up an end-to-end pipeline (Source → S3 → Databricks → BI Tool) within agreed timelines.

Qualifications and Experience:

Must-Have Skills

• Databricks Mastery — Expert knowledge of Delta Lake and Medallion Architecture (Bronze /Silver / Gold).
• PySpark / Spark SQL — Ability to write and optimize Spark code; Python strongly preferred over Scala or R.
• AWS Infrastructure — Deep understanding of S3 (bucket policies, storage), IAM(roles and policies) for secure Databricks access.
• Data Ingestion —Hands-on experience with Databricks Autoloader or Unity Catalog for managed data governance.
• 3–5+ years of professional experience in Data Engineering with PySpark / SQL.

Good to Have

• Networking — VPC configuration and AWS networking concepts.
• AWS Glue or Amazon EMR experience.
• Databricks Certified Data Engineer Professional certification.
• Experience connecting OOTB BI tools to Databricks environments.

Job Description

• Provide professional services to support the on-site build, configuration, and break-fix of Virtual Private Cloud (VPC) infrastructure in the Data Center.
• Escort engineers during on-site visits for hardware servicing and maintenance activities.
• Plan, schedule, and coordinate closely with OEM vendors for the physical installation, configuration, testing, and repair of server, storage, and network hardware.
• Ensure all hardware components—including servers, storage systems, and network devices—are mounted and installed according to design specifications.
• Follow up on cabling and patching requests to ensure proper connectivity and labeling.
• Collaborate with client teams and engineers to troubleshoot on-site hardware and infrastructure issues.
• Initiate and adhere to client change management and access control processes for all on-site activities.
• Provide physical hands-on support for server hardware, including power cycling, reboots, and component replacement.
• Other ad-hoc assigned duties.

Requirements

• Understanding of server hardware, SAN (Storage Area Network) storage, and networking components such as routers and switches.
• Proficient in server components including HDDs, CPUs, RAM, network interface cards (NICs), and storage controllers.
• Experience in Hypervisor VM Migration.
• Strong communication skills with the ability to collaborate effectively across multiple teams.
• Skilled in multitasking with a detail-oriented mindset and strong organizational abilities.
• Excellent troubleshooting skills for both hardware and network-related issues.
• Willing and able to work rotational shifts in a data center environment.
• Open to travel as required by job responsibilities.

Company Description

Innowave Tech is Singapore-based Manufacturing AI company pioneering in state-of-the-art industrial agentic and vision AI to simplify manufacturing and drive digital transformation. We help organizations unlock new efficiencies, reduce costs, and accelerate innovation cycles to address the complex challenges of modern advanced manufacturing. Our solutions specialize in machine autonomation, automated quality assurance, process automation and optimization.

With a global presence in over 10 cities, we collaborate with industry leaders to create transformative solutions in semiconductor manufacturing, electronics manufacturing, chemical processes, and aerospace.

Role Description

This is a full-time on-site junior executive role for a Technical Sales Engineer located in Singapore. The Technical Sales Engineer Executive will be responsible for generating sales and providing pre-sales solutioning and design to clients.

Day-to-day tasks include engaging with clients to understand their needs, demonstrating product capabilities, and providing technical solutions that meet customer requirements. The role will work closely with the Head of Solutions to prepare and deliver presentations, work closely with the sales team to develop strategies, and ensure customer satisfaction through excellent service and support.

Comprehensive training will be provided to candidate to:

• Understand company's technologies and competencies

• Understand products' broad capabilities and application scenarios

• Industry process, technologies, and requirements
  

Qualifications

• Excellent Communication skills is prioritized

• Bachelor's degree or diploma in Engineering, Computer Science, or related field

• Technical design and Solutioning skills

• Ability to work independently and as part of a team

• Strong attention to details and demonstrate curiosity

• Sales knowledge and experience is a plus

• Technical Sales and Pre-Sales Engineering skills is a plus

• 0-2 years experience in technical sales or 1-2 years experience in software development

• Experience in the AI, manufacturing, or related sectors is a plus

• Fresh graduates may apply - on-to-job training provided for both technical and sales requirements

Our client is looking for a System Engineer to support the integration, testing, and deployment of systems for ongoing and upcoming projects as well as Support operational systems to meet contractual Service Level Agreement.

• Collaborate with stakeholders to gather system requirements and propose solutions to meet the requirements.
• Delpoy, upgrade and integrate soultions in existing system/network infrastructure.
• Perform routine preventive maintenance and operational activities promptly and effectively to meet contractual Service Level Agreement
• Diagnose & rectify technical issues.

Requirements:

• Knowledge in Electrical Engineering / Mechanical Engineering / Computer Science / Computer Engineering / Information Technology or equivalent
• Proficient in Windows server OS, Unix/Linux OS & VM environment.
• Working knowledge of Microsoft SQL Server, VPN, firewall appliances, Cisco routers/switches.
• Keeping abreast of evolving technologies and industry best practices.

We respect your privacy and all communication will be treated with confidentiality.

Please contact us or apply in-confidence to us with you updated MS Word Resume to : kelvin@starcareerconsulting.com

Kelvin (Reg. No. R1872625)

STAR CAREER CONSULTING PTE LTD (EA License: 20C0353)

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.

The impact you'll have:

Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure. For instance, you might work on challenges such as:

• Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way

• Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers

• Build tools to allow Databricks engineers to operate their services across different clouds and environments

• Build services, products and infrastructure at the intersection of machine learning and distributed systems

What we look for:

• BS (or higher) in Computer Science, or a related field

• 5+ years of production level experience in one of: Java, Scala, C++, or similar language

• Experience developing large-scale distributed systems

• Experience working on a SaaS platform or with Service-Oriented Architectures

• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes

• Experience with security and systems that handle sensitive data

• Good knowledge of SQL

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire a Data Platform Engineer. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

ROLES AND RESPONSIBILITIES

• Design, develop, and maintained to end data pipelines for ingesting, transforming, and delivering data from multiple source systems (databases, files, APIs, streaming platforms).
• Build and optimize ETL / ELT workflows using SQL, Python, and enterprise data integration tools.
• Ensure data pipelines are scalable, resilient, and performant to meet operational and analytical requirements.
• Database & Data Platform Management
• Work hands on with RDBMS platforms such as Oracle, DB2, SQL Server, orPostgreSQL for data extraction, transformation, and performance tuning.
• Develop and optimize SQL queries, views, and stored procedures to supportreporting and analytics use cases.
• Support data modelling activities (logical and physical) for analytics and reporting layers.
• Data Quality, Governance & Operations
• Implement data validation, reconciliation, and monitoring to ensure data accuracy, completeness, and consistency.
• Support operational data activities, including incident investigation, root cause analysis, and remediation.
• Maintain clear documentation for data pipelines, schemas, and operational processes to support audits and knowledge transfer.
• Collaboration & Stakeholder Engagement
• Collaborate with business users, product owners, and downstream teams to gather requirements and translate them into technical solutions.
• Work closely with Data Analysts, BI developers, and Data Scientists to enable dashboards, reports, and advanced analytics.
• Participate in Agile ceremonies and contribute to sprint planning, estimation, and delivery

REQUIREMENTS

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
• Strong hands on experience with SQL and relational databases (Oracle, DB2,SQL Server, PostgreSQL).
• Experience building and supporting ETL / data pipelines in enterprise environments.
• Solid understanding of data modelling, data quality, and data lifecycle management.
• Ability to troubleshoot data issues and work in production / operational environments.
• Experience with Python for data processing or automation.
• Experience with data streaming technologies (e.g. Kafka, Spark, NiFi).
• Experience with BI and visualization tools such as Tableau, Qlik, or PowerBI.
• Knowledge of cloud or hybrid data platforms and orchestration tools.
• Knowledge of Agile / DevOps practices and CI/CD for data pipelines.

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to keerthana@aven-sys.com. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name: Keerthana Ramakrishnan
Avensys Consulting Pte Ltd
EA License 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

Employment Type: Singaporean Only

About the Role

We are seeking an experienced Network Perimeter Engineer to design, operate, and secure enterprise and cloud network perimeter environments. You will manage firewalls, VPNs, reverse proxies, and network security infrastructure across AWS and hybrid environments.

Key Responsibilities

Network Security & Cloud Infrastructure

• Implement and manage firewalls and security appliances (e.g. Palo Alto, VPN, AWS WAF)
• Administer AWS networking services (VPC, subnets, routing, security groups, NACLs, Transit Gateway, load balancers)
• Design secure and resilient network architectures with cloud, security, and DevOps teams
• Monitor and troubleshoot network performance using CloudWatch, VPC Flow Logs, CloudTrail

Operations & Support

• Provide Level 2 / Level 3 support for incidents and service requests
• Monitor network health, performance, and availability
• Perform patching, upgrades, and lifecycle management (weekend maintenance required)
• Participate in 24/7 standby rotation

IT Service Management & Documentation

• Follow ITIL processes (Incident, Problem, Change Management)
• Maintain SLA compliance and timely ticket resolution
• Create and maintain technical documentation, SOPs, and runbooks

Requirements

• Degree in IT, Computer Science, Engineering, or related field
• Minimum 2+ years experience in network engineering (AWS or hybrid cloud preferred)
• Strong knowledge of firewall management, network segmentation, and traffic filtering
• Experience in network architecture, optimisation, and troubleshooting
• Strong analytical, problem-solving, and communication skills

Preferred Skills

• Certifications (AWS Networking / Solutions Architect / Palo Alto)
• Experience in regulated or government environments
• Knowledge of automation tools (Terraform, CloudFormation, Ansible)
• Familiarity with Zero Trust architecture

Role Overview

You will create, deploy, maintain, and troubleshoot WAF policies across F5 ASM and cloud platforms (Azure / AWS), acting as the organisation’s primary defence against web-based threats.

Working closely with development and security teams, you will design protective controls tailored to specific applications, reduce false positives, and continuously mature the organisation’s protection posture.

Key Responsibilities

WAF & Application Security

• Configure and manage F5 ASM and cloud WAF policies (Azure / AWS) for new and existing web applications

• Review vulnerability findings and develop WAF virtual patching solutions to rapidly mitigate risk

• Monitor and analyse activity logs to detect malicious traffic and indicators of compromise

• Work with developers to implement protective controls customised for specific applications

• Interpret web protocol data to determine source, intent, and risk level of threat agents

• Review WAF usage and define improvements to mature protection policies

Vulnerability & Firewall Management

• Manage the end-to-end vulnerability lifecycle — assessment, reporting, and stakeholder remediation engagement

• Execute firewall change requests and resolve connectivity issues arising from firewall policies

• Provide preventative maintenance and rapid troubleshooting to ensure infrastructure and application stability

• Apply understanding of routing, NAT, ARP, and tools such as tcpdump to trace and resolve data-flow issues

• Review vulnerability scan output and assess where WAF configuration can be used to mitigate attacks

Operations & Reporting

• Utilise SIEM platforms to create custom security reports and operational dashboards

• Prepare regular reports including monthly firewall / WAF log reviews and rules reviews

• Participate in technical design activities to identify infrastructure impact and ensure sound architecture

• Create and maintain technical documentation — network diagrams, policies, and operational procedures

• Support daily security operations and assist in audit event collection and reporting

Required Experience & Skills

1.Network & Infrastructure Security

IPS, WAF, Load Balancers, Network Firewalls (e.g. Palo Alto)

Network security fundamentals and data flow technologies

Mainstream OS familiarity across a wide range of security tools

Understanding of routing, NAT, ARP, and packet analysis

2. Application & Cloud Security

Application security concepts and web application technologies

Security vulnerability scanning and assessment methodologies

Cloud security experience (Azure / AWS WAF configurations)

Full understanding of the application project lifecycle

3. SIEM & Audit

Proficiency in SIEM platforms with custom report / dashboard development

Experience with audit event collection and reporting toolsets

Vulnerability management processes and stakeholder engagement

4. Soft Skills

Proven analytical and problem-solving abilities

Self-motivated, detail-oriented, and collaborative team player

High integrity, strong communication skills, positive demeanour

Ability to research emerging IT security issues and products

Certifications

A recognised security qualification is preferred. Suitable certifications include:

F5 CTS-ASM

CISSP

CISM

ISC2

CEH

PCNSE

Defectivity Data Analytics Engineer

We are seeking a skilled Data Analytics Engineer to join our Defectivity Engineering team in the wafer fabrication fab. The ideal candidate will leverage data analytics, statistical methods, and engineering knowledge to identify, analyze, and reduce wafer defects, improving yield and process quality.

The Job

• The Defectivity department is a Site function, meaning that you will have the opportunity to work closely with both Defectivity Fab SG6/8 and Fab SG8E.
• Develop and implement data-driven models and algorithms to detect defect patterns and root causes.
• Collaborate with process engineers, equipment engineers, and quality teams to translate data insights into actionable process improvements.
• Support the integration of advanced analytics and machine learning techniques for predictive defect detection.
• Participate in cross-functional problem-solving teams to address complex defectivity challenges.
• Ensure compliance with fab safety, quality, and documentation standards.

Requirements

• Bachelor’s or Master’s degree in Engineering, Data Science, Statistics, or related field.
• Strong experience in data analytics, preferably in semiconductor manufacturing or wafer fabrication.
• Proficiency in programming languages such as Python, R, or SQL.
• Familiarity with statistical software and data visualization tools (e.g., Spotfire, Power BI).
• Understanding of semiconductor fabrication processes and defectivity mechanisms.
• Excellent problem-solving, communication, and teamwork skills.
• Ability to work in a fast-paced, dynamic manufacturing environment.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Software-Engineer-%28Cancer-Science-Institute%29/32400-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Cancer Science Institute of Singapore (CSI), part of the National University of Singapore (NUS), is seeking a skilled Software Engineer to join the Genomics and Data Analytics Core (GeDaC).

GeDaC operates a petabyte-scale “Data Nexus” that underpins a production AI Factory for cancer and human disease research. As a Software Engineer, you will focus on building robust, scalable applications and platforms that enable researchers and engineers to seamlessly interact with large-scale data systems.

Key Responsibilities

• Design, develop, and maintain internal web-based platforms and tools that enable researchers to access, query, and manage large-scale genomic and clinical datasets.
• Build and maintain scalable, secure APIs and backend services that interface with data lakes, metadata databases, and compute pipelines.
• Develop intuitive and responsive user interfaces that simplify complex data workflows and improve user experience for researchers and engineers.
• Work closely with the Big Data and HPC teams to integrate applications with data ingestion pipelines, storage systems, and compute workflows (e.g., Nextflow, Kubernetes).
• Ensure applications are optimized for high performance, reliability, and scalability in a petabyte-scale environment.
• Implement and maintain CI/CD pipelines, containerization (Docker), and deployment workflows to ensure efficient and reliable software delivery.
• Incorporate secure authentication, authorization, and data access controls aligned with institutional and regulatory requirements.
• Partner with researchers, data engineers, and stakeholders to translate complex requirements into practical, scalable software solutions.

Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• Proven experience in software development, preferably in data-intensive or platform environments

Technical Skills

• Strong understanding of software architecture, testing, and version control (Git)
• Experience with CI/CD pipelines and DevOps practices
• Ability to write clean, maintainable, and well-documented code

Network Engineer / Senior Network Consultant

Our Esteemed and Reputable Client is looking for a Network Engineer / Network Consultant.

Requirements:

• Proficient in handling Network Infrastructure.

• Good in Network LAN, WAN administration and configuration.

• Proficient in LAN/WAN Systems, Routers, Switches, Firewalls, Servers, Storage, Backup, Operating Systems and applications.

• Experience in Enterprise Network Management.

• Experience in System and Network configuration and troubleshooting.

• Good in System,Windows, Server Configuration and Administration.

• Possess CISCO Certifications.

• Good in liaising with Stakeholders, Clients and Business Users.

• Min. 6 years of Network management experience.

• Min. Diploma/ Degree in any related discipline.

• Strong communication and persuasion skills

*** Junior roles are available for candidates with less than 6 years of Network experience.

We respect your privacy and all communication will be treated with confidentiality.

Applicants who are not shortlisted may be considered for other similar positions.

If you have meet the job requirements that we are looking for or wish to find out more on this role, please contact us or apply in-confidence to us with you updated MS Word Resume to : jeline@starcareerconsulting.com

Yong Jeline (Reg. No. R1101621)

STAR CAREER CONSULTING PTE LTD (EA License: 20C0353)

Responsibilities

• Administrating Active Directory and Windows Update Services

• Manage and maintain all Active Directory objects, DNS records and Group Policies, handling requests for creation and removal of related items

• Assisting the Support Engineer or Software Engineer in problem resolution beyond the capability of the 1st Level Support Staff. 

• Performing system recovery if needed.

• Escalating unsolvable problems to the 3rd Level Support Staff and reports the escalation to superior.

• Ensuring that the System runs according to contractual specifications after problem resolution.

• Providing advice on system / database performance monitoring and tuning.

• Ensuring deployments of approved patches/releases are implemented accordingly to Change Request.

• Complete all Service Requested accordingly to SLA timeframe.

• Assisting the Customer in the verification, isolation and/or provision of a temporary work-around for the problem logged beyond 2nd Level Support Staff capability. 

• Escalating unsolvable system problems and service request to the OEM/Vendor for technical support.

• Coordinating system development tasks to include design, integration and formal testing on the Change Request.

• Overseeing all transitions into production on the Change Request.

• Developing and complete actions in system specifications, technical and logistical requirements and other disciplines on the Change Request.

• Creating and maintain programmatic and technical documentation to insure efficient planning and execution on the Change Request.

• Managing and document system configurations on the Change Request.

• Perform troubleshooting and resolve incident based on SLA.

• Generating the relevant administrative records and reports.

Requirements

• Degree/Diploma in Computer Science, Computer Engineering or equivalent, although consideration will be given to experience and certifications in lieu of degree.

• Minimum 3 to 5 years IT experience

• Past working experience in Cloud environment is an advantage

• Able to handle demanding service response and recovery turnaround

• Able to manage daily support tasks to meet stringent SLA requirements

• Preferably with Microsoft Certification and/or ITIL certification.

• Dynamic, customer oriented, experience working in a fast paced environment.

• Good Knowledge of following products will be advantageous:-Linux,Unix,Active Directory/DNS/GPO, ADFS, Microsoft Azure Stack,Microsoft Windows 2016-2022

Licence no: 12C6060

Job's mission

As a Senior Principal Engineer in Software Engineering, you will shape the software that directly powers ASM’s advanced packaging and hybrid bonding equipment. Your work will have immediate, visible impact on highly complex semiconductor systems, combining robotics, motion control, thermal systems, and process intelligence. In this role, you will lead software architecture, roadmap definition, and execution across multiple products while growing strong engineering teams and influencing global software strategy.

What you will be working on

• Define and own software development plans and roadmaps for advanced packaging solutions, delivering software across multiple hybrid bonding products in parallel.
• Lead end‑to‑end software development with a strong focus on first‑time‑right quality and robust release execution.
• Drive software architecture decisions that support long‑term business, scalability, and product evolution.
• Plan, manage, and execute multiple software baselines, ensuring on‑time delivery across complex development cycles.
• Collaborate closely with software quality teams to embed quality throughout the development lifecycle.
• Work cross‑functionally with process engineering, hardware engineering, and system integration teams to deliver tightly integrated equipment software.
• Partner with global software engineering leaders to align on software strategy, best practices, and technology direction.
• Measure, maintain, and continuously improve internal customer satisfaction.
• Build, mentor, and grow a strong team of software engineers, fostering technical excellence, ownership, and collaboration.
• Promote disciplined software baseline management, build management, and version control practices.

What we are looking for

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Minimum 10 years of experience in software development and software baseline management.
• Experience in the semiconductor process equipment industry.
• Exposure to advanced packaging process flows such as CoWoS, SoIC, or InFO.
• Strong hands‑on software development expertise in C++.
• Proven experience with customer‑oriented software baseline management and release planning.
• Solid background in modern software technologies and development practices.
• Demonstrated ability to drive software architecture aligned with long‑term business needs.
• Strong ownership mindset with proactive leadership and a customer‑oriented approach.
• Ability to define clear priorities, set ambitious yet realistic goals, and deliver results.
• Experience managing projects, schedules, activities, and resources effectively.
• Hands‑on experience with Jira, build management tools, and Git version control.

What sets you apart

• Experience working in fast‑paced, customer‑driven, and rapidly evolving environments.
• Ability to handle multiple concurrent projects while meeting demanding timelines.
• Strong prioritization skills across complex and competing technical demands.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Software-Engineer-%28Cancer-Science-Institute%29/32401-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Cancer Science Institute of Singapore (CSI), part of the National University of Singapore (NUS), is seeking a skilled Software Engineer to join the Genomics and Data Analytics Core (GeDaC).

GeDaC operates a petabyte-scale “Data Nexus” that underpins a production AI Factory for cancer and human disease research. As a Software Engineer, you will focus on building robust, scalable applications and platforms that enable researchers and engineers to seamlessly interact with large-scale data systems.

Key Responsibilities

• Design, develop, and maintain internal web-based platforms and tools that enable researchers to access, query, and manage large-scale genomic and clinical datasets.
• Build and maintain scalable, secure APIs and backend services that interface with data lakes, metadata databases, and compute pipelines.
• Develop intuitive and responsive user interfaces that simplify complex data workflows and improve user experience for researchers and engineers.
• Work closely with the Big Data and HPC teams to integrate applications with data ingestion pipelines, storage systems, and compute workflows (e.g., Nextflow, Kubernetes).
• Ensure applications are optimized for high performance, reliability, and scalability in a petabyte-scale environment.
• Implement and maintain CI/CD pipelines, containerization (Docker), and deployment workflows to ensure efficient and reliable software delivery.
• Incorporate secure authentication, authorization, and data access controls aligned with institutional and regulatory requirements.
• Partner with researchers, data engineers, and stakeholders to translate complex requirements into practical, scalable software solutions.

Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• Proven experience in software development, preferably in data-intensive or platform environments

Technical Skills

• Strong understanding of software architecture, testing, and version control (Git)
• Experience with CI/CD pipelines and DevOps practices
• Ability to write clean, maintainable, and well-documented code

Overall Summary:

The Network Engineer is responsible for thedesign, installation, configuration and maintenance of Software Defined Network (SDN) infrastructure. His/her primary responsibilities include the design and buildof network infrastructure components, and integrating technologies from various virtualised servers and storage vendors. He/She manages and optimises complexcore networks and configures network equipment and software to ensure alignmentwith defined network performance levels and security standards and regulations.He/she collaborates across network and orchestration teams to ensure the smoothdelivery of end-to-end network slicing and automation solutions. He/she is knowledgeable in the use of networking systems and devices, firewalls, wirelesscontrols and technology, network standards including 5G, and network routing protocols.

He / She leads projects, prioritises andassigns tasks to ensure that team’s resources are used effectively and thatinfrastructure projects are implemented in accordance with plans and budgets.

Candidate is required to be on standby with on-call availability with varied shiftsincluding nights, weekends and holidays. He / She is organised with stronganalytical and troubleshooting skills and has a passion for innovation and newtechnologies and is adaptable to dynamic environments. Candidate must also beable to work well with the team and able to guide them to ensure infrastructure projects are well implemented.

Role and Responsibilities:

Project Management

• Assist with the planning and design of infrastructuresystems

• Assist with the documentation ofinfrastructure design and planning activities and decisions.

• Stakeholder Management

Configure & Administer Network

• Design cost-effective network systems and services that meet productspecifications and comply to standards and best practices

• Prepare and execute test plans including integration, performance, coverageand capacity verification

• Review technical documents for processes, technology and devices

• Designate the direction for Local Area Network (LAN) and/or Wide Area Network(WAN), internet, wireless, and remote access services

• Validate the Software Defined Network (SDN) infrastructure within the ITecosystem

• Oversee the installation, upgrading, operation, control, maintenance andeffective use of LAN and/or WAN for the communication of data, voice, text orimages

• Perform technical evaluation and proof-of-concept of new technologies fornetwork infrastructure

• Review releases, upgrades and fixes available from systems software andsupplies and identify those which merit action

Manage Network Operations & Incidents

• Manage network infrastructure to ensure alignment of technical requirements

• Provide technical inputs on the procurement of network equipment and ensurecompliance with procurement policies

• Develop the disaster recovery plan, processes and protocols for disasterrecovery of network infrastructure

• Ensure disaster recovery plan testing activities are performed and technicalcriteria are met

• Perform network fault troubleshooting and root cause analysis to locate sourcesof network issues

• Develop and verify recovery solutions in test environments and execute inproduction network

• Implement automation workflow for the management of repeated network issuesin collaboration with relevant teams

• Plan and coordinate network security measures for network infrastructure,software and data

Qualification/ Requirements:

• Possess a diploma or degree in Engineering or IT or a Bachelor’s degree in Computer Science.
• Cisco Certified Network Associate/ Professional (CCNA / CCNP-Enterprise) or equivalent
• Minimum of 5 years’ experience and strong knowledge in Enterprise IT infrastructure, including routing, switching, wireless and load balancers and project management experience.
• Good to have security background of firewall , F5 and proxy
• Experience with Cisco products and NAC (network access control)
• Able to do procurement papers for approvals
• Solid technical skills in networking, and security.
• Strong problem-solving skills with the ability to troubleshoot and resolve complex technical issues efficiently.
• Excellent communicationskills to collaborate effectively with team members and stakeholders.
• Comfortable to support 24/7 standby
• Open to travel to different sites
• Comfortable to 2 years direct contract

Responsibilities

• Design, develop, and maintain end to end data pipelines for ingesting, transforming, and delivering data from multiple source systems (databases, files, APIs, streaming platforms).

• Build and optimize ETL / ELT workflows using SQL, Python, and enterprise data integration tools.

• Ensure data pipelines are scalable, resilient, and performant to meet operational and analytical requirements.

Database & Data Platform Management

• Work hands on with RDBMS platforms such as Oracle, DB2, SQL Server, or PostgreSQL for data extraction, transformation, and performance tuning.

• Develop and optimize SQL queries, views, and stored procedures to support reporting and analytics use cases.

• Support data modelling activities (logical and physical) for analytics and reporting layers.

Data Quality, Governance & Operations

• Implement data validation, reconciliation, and monitoring to ensure data accuracy, completeness, and consistency.

• Support operational data activities, including incident investigation, root cause analysis, and remediation.

• Maintain clear documentation for data pipelines, schemas, and operational processes to support audits and knowledge transfer.

Collaboration & Stakeholder Engagement

• Collaborate with business users, product owners, and downstream teams to gather requirements and translate them into technical solutions.

• Work closely with Data Analysts, BI developers, and Data Scientists to enable dashboards, reports, and advanced analytics.

• Participate in Agile ceremonies and contribute to sprint planning, estimation, and delivery

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.

• Strong hands on experience with SQL and relational databases (Oracle, DB2, SQL Server, PostgreSQL).

• Experience building and supporting ETL / data pipelines in enterprise environments.

• Solid understanding of data modelling, data quality, and data lifecycle management.

• Ability to troubleshoot data issues and work in production / operational environments.

• Experience with Python for data processing or automation.

• Experience with data streaming technologies (e.g. Kafka, Spark, NiFi).

• Experience with BI and visualization tools such as Tableau, Qlik, or Power BI.

• Knowledge of cloud or hybrid data platforms and orchestration tools.

• Knowledge of Agile / DevOps practices and CI/CD for data pipelines.

Licence no: 12C6060