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Pyspark Engineer

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Details of the offer

Design, develop, and maintain ETL pipelines using PySpark, optimizing for performance and scalability.Work with large volumes of structured and unstructured data, transforming data to meet business needs.Integrate data from multiple sources into the data platform, ensuring data integrity and quality.Collaborate with cross-functional teams to understand data requirements and translate them into efficient data workflows.Implement best practices for data governance, monitoring, and data security.Debug and troubleshoot issues across ETL pipelines and data workflows.Continuously improve performance, scalability, and reliability of existing data pipelines.Provide documentation and training for data workflows and processes.
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Nominal Salary: To be agreed
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