
Highly Skilled Data Professional Wanted
2 days ago
We are seeking a self-driven Data Engineer to build and optimize scalable ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake.
The role involves working across scrum teams to develop data solutions, ensure data governance with Unity Catalog, and support real-time and batch processing. Strong problem-solving skills, T-SQL expertise, and hands-on experience with Azure cloud tools are essential.
Key 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.
- 4-7 years of experience as a 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.
As part of our strategic growth, we are focused on platform modernization — transitioning legacy systems to modern, cloud-native architectures that support the scalability, reliability, and high performance of core back-office functions in the domain.
At this company, we focus on developing innovative benefits management solutions that transform the insurance industry.
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