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Design and develop scalable data pipelines using Azure Data Bricks and Pyspark. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain large-scale data warehouses and data lakes on Azure Data Bricks. Optimize data processing workflows for performance and efficiency. Troubleshoot and resolve complex technical issues related to data processing and analysis. Implement automated testing and deployment scripts using Python and Pyspark. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .