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We are looking for an experienced Data Engineer Azure Databricks to design, develop, and maintain scalable data engineering solutions using the Microsoft Azure data ecosystem.

The ideal candidate should have strong experience in Azure Databricks and Azure Data Factory, with the ability to work on data processing and integration requirements.

Key Responsibilities :

- Design, develop, and maintain scalable data engineering solutions using Azure Databricks.
- Develop and manage data pipelines and workflows using Azure Data Factory (ADF).
- Perform data ingestion, transformation, processing, and integration across data sources.
- Build efficient and reliable data processing solutions using Databricks.
- Ensure data pipelines are scalable, reliable, and optimized for performance.
- Troubleshoot data pipeline and integration issues and implement appropriate solutions.




- Collaborate with technical and business teams to understand data requirements and deliver effective solutions.

Required Skills :

- 5 - 8 years of experience in Data Engineering.
- Strong hands-on experience with Azure Databricks.
- Strong experience with Azure Data Factory (ADF).
- Good understanding of data engineering, data integration, and data processing concepts.
- Experience in developing and maintaining data pipelines.
- Solid analytical and problem-solving skills.

Key Skills : Data Engineering, Azure Databricks, Azure Data Factory (ADF), Data Factory, Data Pipelines, Data Integration, Data Processing, Microsoft Azure

📌 Data Engineer - Azure Databricks (India)
🏢 The Glove
📍 India