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Data Engineer
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- Development – A Sr Data Engineer Work closely with data architects and stakeholders to design and develop scalable and efficient data solutions on the Azure platform.
- This includes data ingestion, transformation, storage, and visualization.
- Data Integration and ETL: Develop and maintain Extract, Transform, Load (ETL) processes using Spark, Python, Scala, Databricks, Azure Data Factory and other relevant tools to integrate data from various sources.
- Azure Service Implementation: Implement and configure Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, and Azure Cosmos DB to build and manage data pipelines and data processing workflows.
- Utilize best practices for data modeling and indexing to ensure optimal performance and scalability.
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