Editorial summary

The company is seeking a Senior Data Engineer to join its team, focusing on designing and implementing scalable ETL/ELT pipelines using AWS services such as Glue, Step Functions, Lambda, and S3. The role involves building data lakehouse solutions with Apache Iceberg or Amazon S3 Tables, ensuring data quality, governance, and compliance. The position offers a salary of 12,000 and requires expertise in data pipeline development, data governance, and cloud-based data architecture.

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

Job description

[This job https://singapore.job-q.com/jobs/detail/senior-data-engineer-34950 first appeared in Job-Q.com on 29 Sep 2026]

Our client, one of Asia-Pacific’s leading organizations is looking for:

Senior / Data Engineer

Responsibilities:

• Design and implement scalable ETL/ELT pipelines using AWS Glue, Step Functions, Lambda and S3
• Build data lakehouse solutions using Apache Iceberg or Amazon S3 Tables, incorporating schema evolution, partition evolution and ACID transactions
• Develop and maintain automated data quality validation frameworks; Establish metrics and monitoring to ensure data accuracy, completeness and consistency
• Implement data governance controls and ensure compliance with applicable standards
• Write production-quality code and deploy solutions on AWS
• Implement CI/CD pipelines and infrastructure as code using tools such as Terraform or CloudFormation to support repeatable and auditable deployments
• Work with cross-functional teams and communicate technical designs clearly to technical and non-technical stakeholders

Requirements:

• Degree in Computer Science, Data Engineering, Information Systems or a related discipline with 5+ years of experience in data engineering, ETL/ELT development or data platform roles
• Strong hands-on experience developing and deploying production solutions using AWS services
• Proficiency in Apache Iceberg or similar open table formats
• Experience in a Government Commercial Cloud (GCC) environment is strongly preferred; Relevant AWS certifications are an advantage
• Strong understanding of data lakehouse architecture, Apache Iceberg features and Amazon S3 Tables optimisation
• Ability to design reliable pipelines and implement automated data quality and governance controls
• Proficiency in production-quality coding, performance optimisation and cloud deployment

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Interested applicants can also email CV at (for faster processing, please state the exact job / position title applied “Senior Data Engineer”

Only shortlisted candidates will be notified.

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EA License Number: 10C3636
EA Personnel Name: Arora, Hardeep
EA Personnel Registration Number: R1111454

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