Data Engineering and Analytics
Summary
Design, build, and operate production-grade data pipelines using AWS/Azure cloud services, Python, and SQL, applying software-engineering practices like CI/CD and IaC to data solutions.
Our client, one of Asia-Pacific’s leading organizations is looking for:
Data Engineering 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
- AWS/Azure-native logging, streaming, storage, search and data services
- Enterprise servers, networks, applications, databases, virtualised infrastructure, and log sources
- Python, SQL, ETL/ELT, batch, incremental, CDC, streaming, and event-driven patterns
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Interested applicants can also email CV at jagveer@nsearchglobal.com (for faster processing, please state the exact job / position title applied “Data Engineering and Analytics"
Only shortlisted candidates will be notified.
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EA License Number: 10C3636
EA Personnel Name: Jagveer Singh Arora
EA Personnel Registration Number: R22109615
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