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About the role
Design and develop scalable data pipelines using 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 AWS. Ensure data quality and integrity by implementing robust testing and validation frameworks. Optimize data processing workflows for performance and efficiency. Mentor junior team members to improve their skills and knowledge. 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.
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