Data Engineer
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Summary
Designs, builds, and operates production-grade ETL/ELT data pipelines and cloud/hybrid data stores on AWS or Azure, integrating data from APIs, databases, files, and streams for an Asia-Pacific client organization. The role is Singapore-based and sourced via recruitment firm nSearch Global.
Our client, one of Asia-Pacific's leading organizations is looking for:
Responsibilities:
- Design, build, and operate production-grade data pipelines for data extraction, ingestion, transformation, and loading (ETL/ELT)
- Integrate data from on-premises systems, enterprise applications, APIs, databases, SaaS platforms, files, streams, cloud services, and other operational data sources
- Develop batch, incremental, change-data-capture, streaming, and event-driven ingestion patterns based on source-system and business requirements
- Design and maintain cloud-native and hybrid data stores, data lakes, and analytical datasets
- Build trusted datasets and reusable data products for applications, dashboards, operational reporting, and analytics
Requirements:
- Degree with 3-5 years of experience in data engineering, cloud data engineering, analytics engineering, software engineering, or a related discipline
- 2 years of hands-on experience designing, building, and operating production-grade data pipelines
- Demonstrated experience with data extraction, ingestion, ETL/ELT, transformation, data modelling, and data quality
- Experience using AWS and/or Azure native data capabilities
- Experience integrating data from APIs, databases, enterprise systems, files, or streaming sources
- Experience implementing batch, incremental, CDC, and/or event-driven data pipelines
- Experience working with on-premises and/or cloud environments, with an understanding of hybrid integration patterns
- Experience applying software-engineering practices such as version control, automated testing, CI/CD, monitoring, and Infrastructure as Code to data solutions
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EA License Number: 10C3636