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Key Role: Data Engineer
3 weeks ago
We are seeking a highly skilled Data Engineer with 4–7 years of experience to build and optimize scalable ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake.
The ideal candidate will have strong problem-solving skills, T-SQL expertise, and hands-on experience with Azure cloud tools. They should be able to create efficient data solutions, ensure data governance with Unity Catalog, and support real-time and batch processing.
- Create scalable ETL/ELT pipelines using Azure Databricks, PySpark, and SQL.
- Have experience in Azure cloud platforms, including Advanced Python Programming, Databricks, Azure SQL, Data factory (ADF), Data Lake, Data storage, SSIS.
Mandatory Qualifications:
- 4-7 years of experience as a Data Engineer.
- Strong T-SQL programming skills.
- Experience with Azure Databricks, Spark (PySpark/Scala), Delta Lake, Unity Catalog, ADLS Gen2.
Benefits of the Role
This is an exciting opportunity for professionals passionate about data engineering to contribute to the development of innovative benefits management solutions.
About the Team
We focus on modernizing complex back-office systems to create scalable, secure, and high-performing platforms that streamline operations for clients.