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Open nowPosted yesterday

Data Engineer - Data Lakehouse Architecture (Public Sector)

MyCareersFuture94,028 open roles

Pay
SGD 7,000 – SGD 11,000 a month
Where
Singapore
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Your applicationOpen nowData Engineer - Data Lakehouse Architecture (Public Sector)MyCareersFuture · Singapore

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This job: posted yesterday

The posting

  • 1-year contract, renewable
  • Government project
  • Hybrid work arrangement

Role Overview

The Data Engineers will design, build and deploy a scalable and reliable data lakehouse platform on AWS. Their responsibilities will include developing end-to-end data pipelines, establishing data quality frameworks and delivering production-ready solutions to support the organisation's data infrastructure.

The Senior Consultant will additionally lead complex engineering activities and provide technical guidance and implementation oversight.

Key Responsibilities

Data Pipelines and Architecture

  • 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.
  • Optimise pipelines for performance, cost and reliability.

Data Quality and Governance

  • 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.

Application Development and Deployment

  • 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.

Collaboration and Handover

  • Work with cross-functional teams and communicate technical designs clearly to technical and non-technical stakeholders.
  • Prepare technical documentation and support handover to the Day 2 operations team.

Qualifications and Experience

  • A degree in Computer Science, Data Engineering, Information Systems or a related discipline.
  • Five to eight 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.

Skills and Competencies

  • 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.
  • Ability to troubleshoot complex engineering issues and document solutions clearly.

/Ref: T24-251

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