- Develop and maintain Azure Databricks solutions and data pipelines.
- Work on Azure Data Factory (ADF) pipelines for data integration.
- Develop and optimize PySpark and SQL-based transformations.
- Work with Azure Data Lake and Azure SQL.
- Build and maintain ETL/ELT data pipelines.
- Perform data migration, transformation and data processing.
- Ensure data quality and optimize pipeline performance.
Preferred candidate profile
- 8-12 years of experience in Azure Data Engineering.
- Hands-on experience in Azure Databricks, Azure Data Factory and Azure Data Lake.
- Solid knowledge of PySpark, Python and SQL.
- Experience with Azure SQL and ETL pipeline development.
- Good understanding of data warehousing concepts.
- Candidates available for a face-to-face interview in Pune preferred.
📌 Azure Databricks Data Engineer (Pune)
🏢 Advance Career Solutions
📍 Pune
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