- 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.
📌 Aws Data Engineer (Bengaluru)
🏢 RandomTrees
📍 Bengaluru
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