Demo

Data Engineer

POSTED ON 4/27/2025 AVAILABLE BEFORE 6/27/2025

Responsibilities:

  • Collaborate with the data product team and business users to implement and maintain data platforms using leading technologies and best practices.
  • Partner with product vendors to design, deploy, and integrate data platforms into the organization’s ecosystem.
  • Ensure platforms comply with IT security and policy standards.
  • Develop processes and monitoring tools to track platform availability.
  • Serve as the solution architect for onboarding projects to data platforms for BI needs like data ingestion, visualization, and governance.
  • Conduct testing on deployed platforms.

Requirements:

  • 5 years of experience in platform support, software engineering, or data engineering.
  • Expertise in building efficient, scalable applications using Java or Python.
  • Hands-on experience implementing new platforms and integrating with RDBMS.
  • Proficient in Linux/Unix, Shell scripting, and command-line tools.
  • Familiar with data integration and visualization tools like Informatica, Tableau, and Power BI.
  • Experience with technologies such as Java, Python, Snowflake, Oracle, MS SQL, Denodo, and AWS.
  • Knowledge of SDLC and Agile methodologies (Scrum, Kanban).
  • Strong skills in code versioning, testing, CICD, and documentation.
  • Analytical, detail-oriented, and adept at solving complex problems.
  • Excellent communicator with the ability to collaborate with analysts, business users, and vendors.

To Apply:

Interested candidates who wish to apply for the advertised position, please click on “Apply Now” and "ATTN: JOSL"

Alternatively, you may email us an updated copy of your resume.

We regret that only shortlisted candidates will be notified.

Email Address: joseph.low@theoptimum.net

Optimum Solutions Pte. Ltd. | 1 Changi Business Park Crescent, #03-09 Plaza 8@CBP, Singapore 486025

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.



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