Job Description
Key Responsibilities: - Develop, maintain, and optimize data pipelines using SQL, Spark, and Python. - Integrate and process data using AWS services such as Glue, Athena, and Redshift. - Perform functional and automated testing of data pipelines to ensure accuracy and reliability. - Monitor, debug, and perform performance tuning on existing data pipelines. - Collaborate with teams on data analysis and lakehouse development initiatives. - Ensure best practices in data engineering, data quality, and data governance. Skills: Spark, Aws Redshift, Sql, AWS Athena, AWS Glue, Python Experience: 7.00-9.00 Years
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