Senior Data Engineer

About the role

Job Purpose – To effectively design, develop, and manage data solutions using ETL technologies such as Azure Databricks (ADB) and Azure Data Factory (ADF) and Sql. To manage and maintain Azure Data-Lake platform including the storage optimisation. To effectively manage and maintain databricks platform including the admin activities and willing to work on new features like Databricks Apps, Agent Bricks, AI/BI dashboard.

What you'll do

• Translate business requirements into technical solutions in collaboration with the PMO team
• Own end-to-end delivery of data projects, ensuring on-time execution and adherence to quality standards
• Design technical architecture and guide development efforts for enhancements and new projects
• Develop and maintain robust ETL pipelines and data integration modules across systems
• Ensure high data quality, platform stability, and resolution of critical process issues

What you need

• Python
• SQL
• Databricks
• ETL
• Azure Data Factory
• Spark
• Any graduate

Good to have

• Power BI
• Azure
• Dashboarding
• SOP writing
• Scala