Data Engineer

About the role

We are looking for a skilled Data Engineer to design, develop and maintain scalable data pipelines that support enterprise analytics and reporting. The role focuses on building ETL/ELT processes using Python, PySpark and SQL within a modern data platform in Singapore.

Key responsibilities

• Design, develop and maintain scalable ETL/ELT pipelines using Python, PySpark and SQL.
• Extract, transform and load data from multiple source systems into enterprise data platforms.
• Create reusable data transformation logic for reporting, analytics and machine‑learning initiatives.
• Optimize SQL queries and PySpark jobs for performance and efficiency.
• Build and maintain data models, staging layers and curated datasets for downstream consumption.
• Perform data cleansing, validation, reconciliation and quality checks.
• Troubleshoot pipeline failures, performance bottlenecks and data‑related issues.
• Collaborate with business analysts, data architects and data scientists to understand requirements and implement solutions.
• Participate in code reviews, testing, deployment and production support.
• Document data mappings, transformation logic and ETL workflows while ensuring compliance with data governance and security standards.

Required profile

• Professional experience in designing and operating data pipelines at scale.
• Strong understanding of ETL/ELT concepts and data quality practices.
• Ability to work collaboratively with cross‑functional teams.

Required skills

• Python
• PySpark
• SQL