Editorial summary

The company, a leading organization in the Asia-Pacific region, is seeking a Data Engineer and Analytics professional with 3-5 years of experience in data engineering, cloud data engineering, or related fields. The role requires at least 2 years of hands-on experience designing, building, and maintaining production-grade data pipelines, along with expertise in data extraction, ETL/ELT processes, data modeling, and data quality. Experience with AWS and/or Azure native data services and integrating data from APIs and databases is essential. The position offers a salary of 12,000.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 29020 first appeared in Job-Q.com on 31 Aug 2026]

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 (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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