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(CDC), streaming, and event-driven ingestion patterns based on source-system and business requirements
• Build transformation pipelines that clean, enrich, standardise, join, aggregate, and structure raw data into trusted datasets
• Design secure and resilient mechanisms for transferring and synchronising data between on-premises, GCC, AWS, Azure, and other approved environments
• Design pipelines for failure handling, retry, recovery, idempotency, scalability, and changing data volumes
• Automate pipeline deployment, configuration, testing, and operation
• Design and maintain cloud-native and hybrid datastores, data lakes, and analytical datasets
• Develop data models that provide consistent representations of enterprise, operational, and asset information
• Design data architectures spanning on-premise infrastructure and cloud platforms
• Build trusted datasets and reusable data products for applications, dashboards, operational reporting, and analytics

Requirements:

• Minimum 3–5 years of experience in data engineering, cloud data engineering, analytics engineering, software engineering, or a related discipline
• At least 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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Interested applicants can also email CV at [email protected] (for faster processing, please state the exact job / position title applied “Data Engineer"

Only shortlisted candidates will be notified.

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EA License Number: 10C3636
EA Personnel Name: Chauhan, Asmita
EA Personnel Registration Number: R1980706

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