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Open nowPosted yesterday

Data Engineer

MyCareersFuture101,380 open roles

Pay
SGD 7,000 – SGD 9,500 a month
Where
Singapore
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Your applicationOpen nowData EngineerMyCareersFuture · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 4 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.1%30 days
This job: posted yesterday

MyCareersFuture median: 4 days open

The posting

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

Data Engineer Responsibilities:

  • Design, develop and maintain efficient and reliable ETL processes and data pipelines for the ingestion, transformation, and integration of data from multiple source agencies.
  • Develop and maintain modular, production-quality code for statistical production processes, including optimising legacy processes while preserving business logic and reconciling outputs against existing results.
  • Design and maintain database schemas, data models and storage structures to support efficient ingestion, validation, transformation and retrieval of large datasets.
  • Build reusable data engineering components such as common libraries, configuration frameworks, logging standards, and utilities to streamline production workflows.
  • Implement and maintain CI/CD pipelines for data engineering workflows, including automated testing and deployment, and establish workflows to safely isolate and synchronise Development, UAT, and Production environments.
  • Design and configure complex pipeline workflows and schedules using enterprise tools, including dependencies, failure handling, recovery and operational monitoring.
  • Establish version control structures using GitLab, set up code review frameworks, and produce technical documentation.
  • Monitor and troubleshoot pipelines, perform root-case analysis and continuously improve operational reliability and system performance for large-scale datasets.
  • Collaborate with technical team, business users and other stakeholders to translate business and statistical processing requirements into robust technical implementations.

Requirements:

  • Degree in Information Technology, Computer Science, Information Systems, or a related discipline.
  • 2-4 years of professional experience in data engineering, data platform development, or a related software engineering role.
  • Strong proficiency in Python and SQL, including experience in complex data transformations, analysis, and quality monitoring.
  • Hands-on experience with dataframe processing libraries (e.g. Polars, pandas) for high-performance execution and memory-efficient processing of large datasets
  • Experience with database management, data warehousing and developing ETL processes for data ingestion and integration
  • Experience with version control using Git, including branching strategies, merge requests, code review, and CI/CD pipelines for automated testing and deployment
  • Working knowledge of Linux/Unix environments, shell scripting and command-line tools for data processing
  • Familiar with data governance policies, access control and security best practices.
  • Understanding of software engineering practices such as modular design, configuration management, logging, exception handling, testing, and technical documentation.
  • Experience with cloud technologies and orchestration/CI-CD tooling is an advantage
  • Excellent problem-solving, analytical, and communication skills, with the ability to work independently in an agile team environment

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

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

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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