Data Engineer (Azure & Databricks)
CGI (company site, opens in a new tab)4–5 yrsBengaluruOn-siteDirect career pageEst. 12–18 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, maintain, and optimize ETL/ELT data pipelines using Python, Databricks, and Azure data services.
- Build and support Azure Data Lake and Enterprise Data Warehouse solutions with data integration via Azure Data Factory.
- Monitor pipeline job executions, troubleshoot issues, and maintain technical documentation for data operations.
Minimum Requirements
- 4-5 years of hands-on experience in Data Engineering, ETL development, or Data Analytics.
- Strong proficiency in Python programming and PySpark for data transformation.
- Experience with Azure data ecosystem including Azure Data Lake Storage (ADLS Gen2) and Azure Data Factory (ADF).
- Solid expertise in SQL for complex queries and relational database management.
Ideal Candidate Profile
- Experienced with distributed computing environments using Apache Spark and Databricks platform.
- Familiar with data warehousing concepts such as Star schema, facts, and dimensions.
- Exposure to version control (Git) and interest or experience in CI/CD pipelines and Agile development preferred.