12 Oct
Sourcebae
Nadiad
Position : Azure Data Engineer
Experience :6-8 yrs
Key Responsibilities :
- Design, develop, and implement data integration solutions using Azure Data Factory (ADF) and Azure Databricks .
- Build and optimize large-scale data pipelines using PySpark in a cloud environment.
- Develop complex SQL queries to support data extraction, transformation, and analysis processes.
- Work collaboratively with teams using Azure DevOps (ADO) and GIT for version control and CI/CD pipeline management.
- Ensure seamless data visualization and reporting by integrating data with PowerBI .
- Monitor and troubleshoot data pipelines, ensuring optimal performance and data accuracy.
Must-Have Skills :
- Strong understanding of Azure Data Factory (ADF) and Azure Databricks .
- Hands-on experience with PySpark for data processing and transformation.
- Proficiency in SQL for complex querying and data manipulation.
- Experience working with Azure DevOps (ADO) and GIT for source control and pipeline management.
- Basic understanding of PowerBI for data visualization.
Preferred Skills :
- Familiarity with Unity Catalog for managing and securing data assets within Databricks.
If Intrested. Please submit your CV to or share it via WhatsApp at 8827565832
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▶️ Azure Data Engineer
🖊️ Sourcebae
📍 Nadiad