Data Engineer
Posted
Summary
Data Engineer in Singapore building and maintaining scalable ETL pipelines in Databricks, writing optimized SQL for analytics, and automating dashboards in Power BI, Tableau, or Looker. The role also covers data quality monitoring, optimizing data models on Azure or AWS, and documenting data flows.
- Build and maintain scalable ETL pipelines in Databricks to process and transform large datasets from multiple sources.
- Write optimized SQL queries to prepare datasets for analytics and reporting.
- Collaborate with analysts and business stakeholders to understand reporting needs and translate them into technical solutions.
- Develop and automate analytics reports and dashboards using tools such as Power BI, Tableau, or Looker.
- Implement data quality checks and monitoring to ensure accuracy and reliability.
- Optimize data models for performance and scalability in cloud environments such as Azure or AWS.
- Document data flows, transformations, and reporting logic for transparency and maintainability.
- Print domain experience would be an added advantage.