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Open nowPosted 3 days ago

Senior / Data Engineer

MyCareersFuture94,028 open roles

Pay
SGD 9,000 – SGD 12,000 a month
Where
Singapore
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Your applicationOpen nowSenior / Data EngineerMyCareersFuture · Singapore

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 3 days ago

The posting

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 [email protected] (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

By submitting your resume and cover letter to apply for our job opening, you confirm that you have read the Data Protection Notice for Job Applicants (https://www.nsearchglobal.com/dp-notice/job-applicants) and you consent to the collection, use, and disclosure of your personal data for the purpose of verifying and evaluating your job application. Additionally, you have to notify and obtain consent from all individuals listed as your references to their data being collected and disclosed for the purposes related to your job application

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