Senior Data Engineer

Role & responsibilities

• Work with different scrum teams to develop all the quality database programming requirements of the sprint.
• Experience in Azure cloud platforms like Advanced Python Programming, Databricks, Azure SQL , Data factory (ADF), Data Lake, Data storage, SSIS.
• Create and deploy scalable ETL/ELT pipelines with Azure Databricks by utilizing PySpark and SQL.
• Create Delta Lake tables with ACID transactions and schema evolution to support real-time and batch processing.
• Experience in Unity Catalog for centralized data governance, access control, and data lineage tracking.
• Independently analyse, solve, and correct issues in real time, providing problem resolution end-to-end.
• Develop unit tests to be able to test them automatically.
• Use SOLID development principles to maintain data integrity and cohesiveness.

Preferred candidate profile

• 7-10 years of experience as a Lead Data Engineer.
• Self-driven with minimal supervision.
• Proven experience with T-SQL programming, Azure Databricks, Spark (PySpark/Scala), Delta Lake, Unity Catalog, ADLS Gen2
• Microsoft TFS, Visual Studio, Devops exposure.
• Experience with cloud platforms such as Azure or any.
• Analytical, problem-solving mindset.