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Data Engineer designing, building, and optimizing enterprise-scale ETL/ELT pipelines and cloud data platforms using AWS, Databricks, and Informatica IDMC in an onsite Singapore role.
Design and build scalable, resilient data pipelines on Databricks (AWS) for enterprise clients, integrating governance tools and translating business needs into technical solutions.
What the role is: (LTA-TRO) SENIOR/ EXECUTIVE DATA ENGINEER, TRAFFIC & ROAD IT What you will be working on: We are looking for a Data Engineer to own, build, and scale the data infrastructure powering our…
Develops and maintains full-stack Java/J2EE and Angular applications, ensuring code quality, security, and adherence to design standards while collaborating with teams to deliver projects on time.
Senior data engineer designing and optimizing end-to-end data pipelines using SQL Server, Python, Kubernetes, Airflow, Spark, and lakehouse architectures on-premise.
Senior Data Engineer responsible for designing, developing and supporting Microsoft SQL Server databases, SSIS-based ETL processes, data integration solutions and management reporting platforms in Singapore.
Data Engineer building large-scale pipelines to ingest and process unstructured documents, generate vector embeddings, and enable hybrid keyword/semantic search for national security analytical products.
Hands-on Data Engineer designing, building, and maintaining Snowflake-centric data pipelines with a focus on ELT/ETL development, data modelling, and modern data governance for analytics and AI use cases in Singapore.
Data Engineer in Singapore building production-grade ETL/ELT pipelines and working with big data frameworks on cloud platforms (AWS, Azure, GCP), using SQL, Python, Spark, Kafka, and various databases.
Azure Databricks Data Engineer developing and maintaining data pipelines, designing data integration and transformation processes with a focus on performance optimization, cost efficiency, and data governance.
Manage and optimize real-time financial market data systems at TP ICAP's Parameta Solutions in Singapore—integrating, normalizing, and distributing OTC data feeds from exchanges and vendors using tools like Refinitiv RTDS, cloud platforms, and scripting languages.
Design, build, and maintain scalable Azure data pipelines covering ingestion, transformation, and integration, while developing data models, supporting warehousing, and collaborating with analytics teams on dashboards and reporting.
The Ministry of Finance is responsible for the Government Procurement (GP) policies, which govern how government agencies conduct their procurement. With evolving needs of our public officers and changing procurement…
Lead the design and continuous improvement of a regional Microsoft Fabric and Power BI data & analytics platform across Southeast Asia, covering data ingestion, transformation, semantic modelling, and enterprise reporting.
Develop modular code for Keysight’s A90 product line using C#, JavaScript, WPF, and NodeJS; collaborate on feature design, testing, and best practices in a fast-paced engineering team.
Owns and drives the DevOps and Observability technology partner strategy across Asia-Pacific and Japan for AWS, covering executive governance, field enablement, and go-to-market execution to grow Marketplace revenue.
The Cloud DevOps Lead will design and manage scalable cloud infrastructure, CI/CD pipelines, and container orchestration systems while providing technical leadership to teams. The role focuses on automation, security, and maintaining high production reliability using AWS and modern DevOps practices.
The AI-Powered Full-Stack Engineer will design, build, and deploy web applications while leveraging AI-assisted coding tools and integrating AI services. The role involves collaborating with data scientists and architects to deliver secure, high-performance production features.
The Full-Stack Engineer will design, develop, and maintain scalable web applications and APIs using Golang, Python, or Node.js. The role involves working with microservices, cloud platforms, and modern DevOps practices in a hybrid work environment.
Build production-grade AI agent platform infrastructure — orchestration runtimes, SDKs, APIs, inference routing, and governance tooling — using Python, Node.js/TypeScript, Kubernetes, and event-streaming protocols for enterprise clients.
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