Senior / Data Engineer

Our client, one of Asia-Pacific's leading organizations is looking for: Data Engineer

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