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• Corp-Corp

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• UG :- - Not Required

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• No of position :- ( 1 )

• Post :- 28th Mar 2025

·                Design, develop, and maintain ETL pipelines using AWS services, Python, and Spark. 

·                Optimize data ingestion, transformation, and storage processes for high-performance data processing. 

·                Work with structured and unstructured data, ensuring data integrity, quality, and governance. 

·                Develop SQL queries to extract and manipulate data efficiently from relational databases. 

·                Implement data validation and testing frameworks using Pytest to ensure data accuracy and reliability. 

·                Collaborate with data scientists, analysts, and software engineers to build scalable data solutions. 

·                Monitor and troubleshoot data pipelines to ensure smooth operation and minimal downtime. 

·                Stay up-to-date with industry trends, tools, and best practices for data engineering and cloud technologies.