Role & responsibilities
Design, develop, and optimize scalable data pipelines using AWS services.
Build and maintain batch and real-time data ingestion and processing frameworks.
Develop enterprise-grade data warehousing solutions using Py-Spark.
Convert Scala-based ETL, batch, and streaming pipelines into PySpark frameworks.
Optimize PySpark jobs for performance, scalability, and resource utilization.
Support cloud modernization initiatives on AWS/Databricks platforms.
📌 Pyspark Data Engineer Hyderabad (India)
🏢 Tata Consultancy Services
📍 India
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