Combuilder Pte Ltd

Data Engineer

Combuilder Pte Ltd

Singapore · Full Time

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Experience
3+ yrs
Salary
—
Openings
1
Posted
5 days ago
Work mode
In office
Education
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related fields
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Required to apply

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Job description

Role Overview

We are seeking a skilled Data Engineer to join our team in Singapore. The role involves designing, developing, and maintaining scalable, reliable data pipelines and enterprise data platforms such as data warehouses, lakes, and lakehouses. You will architect data infrastructures across cloud, hybrid, and on-premises environments aligned with organizational standards.

Primary Responsibilities

  • Create and optimize data pipelines for robust enterprise-wide platform deployment.
  • Construct and maintain data warehouses, lakes, and lakehouse architectures.
  • Develop and manage hybrid cloud and on-premises data architectures conforming to company and industry best practices.
  • Lead the development of ETL/ELT workflows, with a preference for using Talend.
  • Integrate diverse data formats, including structured, semi-structured, and unstructured datasets.
  • Establish frameworks for data validation, quality assurance, and error handling.
  • Design data storage strategies emphasizing object storage, quality, governance, and cost optimization.
  • Implement data lifecycle management, tracking lineage, traceability, and auditing mechanisms.
  • Build analytics-ready data models to support reporting and self-service analytics applications.
  • Facilitate the creation and operation of BI dashboards, reports, and analytical systems with performance and governance standards.
  • Ensure adherence to governmental security and privacy regulations through encryption, access control policies, and secure data handling procedures.

Qualifications and Experience

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or an equivalent field.
  • At least 3 years of demonstrated experience in enterprise-level data engineering roles.
  • Proficient with data engineering practices and technologies.
  • Advanced skills in SQL and Python programming.
  • Experience using ETL/ELT platforms, ideally Talend.
  • Hands-on with data warehouse, lakehouse, lake, and object storage technologies.
  • Knowledge or experience specifically with Qlik Sense Enterprise integration is strongly advantageous.
  • Mandatory possession of Prior CAT 1 / G50 security clearance.
  • Prior involvement in MINDEF project delivery is required.

Minimum education

Bachelor's Degree

Tools & software

Talend · 2 to 5 years required

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