Data Engineer

• Design and develop data pipelines using MS Fabric and Pyspark/SQL.


• Collaborate with cross-functional teams to identify and prioritize project requirements.


• Develop and maintain large-scale data warehouses and data lakes.


• Ensure data quality and integrity by implementing data validation and testing procedures.


• Optimize data processing workflows for improved performance and efficiency.


• Troubleshoot and resolve technical issues related to data engineering projects.

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