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Senior / Data Engineer
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Job Description
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 ----------------------------------------------------------------------------------------------------------------------------------- Interested applicants can also email CV at harry@nsearchglobal.
com (for faster processing, please state the exact job / position title applied “Senior Data Engineer” Only short
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