
Transformative Data Solutions Specialist
2 days ago
We are seeking a talented Data Engineer with 4–7 years of experience 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.
- Develop all quality database programming requirements of the sprint.
- Utilize advanced Python programming skills in Azure cloud platforms like 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.
Mandatory Qualifications:
- 4-7 years of experience as a Data Engineer.
- Proven experience with T-SQL programming, Azure Databricks, Spark (PySpark/Scala), Delta Lake, Unity Catalog, ADLS Gen2.
- Microsoft TFS, Visual Studio, Devops exposure.
- Analytical, problem-solving mindset.
Benefits include working on platform modernization — transitioning legacy systems to modern, cloud-native architectures that support scalability, reliability, and high performance. Healthcare domain knowledge is a plus.
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