Data Engineer – Intermediate

About the role

Data Engineer – Intermediate role based in Singapore on-site. You will develop, maintain, and optimize data pipelines, performing data extraction, transformation, and loading (ETL) while implementing data-quality checks and resolving data inconsistencies. You will support data reporting and integration across data platforms, coordinate with technical teams, and contribute to data engineering projects involving 500+ man-days.

Key responsibilities

• Develop, maintain, and optimize data pipelines
• Perform data extraction, transformation, and loading (ETL)
• Implement data-quality checks and resolve data inconsistencies
• Support data reporting and integration across data platforms
• Coordinate with technical teams and provide technical guidance when required
• Contribute to data engineering projects involving 500+ man-days

Required Qualifications and Skills

• Degree or Diploma in Computer Science, Data Science, Information Technology, or a related field
• Minimum 3 years of relevant experience in data engineering and data platforms
• Strong knowledge of SQL and Python
• Hands-on experience with ETL tools and data pipelines
• Basic knowledge of Azure data services
• Familiarity with data quality, data integration, and data processing
• Working knowledge of Git and version control
• Experience in technical leadership or team coordination
• Experience in projects involving 500+ man-days and technical-lead responsibilities