Data Engineer
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Summary
Data Engineer in Singapore who builds and maintains scalable ETL pipelines in Databricks, writes optimized SQL for analytics, and automates dashboards with tools like Power BI, plus data quality checks and cloud (Azure/AWS) model optimization.
Primary Skills:
Python
SQL
Databricks
Power BI
Job Description: 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.
Please support with relevant profiles aligned to the above requirement and budget.
Job Description: 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.
Please support with relevant profiles aligned to the above requirement and budget.