Role: Pyspark Experience: 5-8 yrs Location: Chennai/Kolkata/Mumbai/Pune/Hyd/Bangalore Responsibility: Design scalable PySpark-based test architectures for ETL/data pipelines, including modular frameworks for batch processing. Architect end-to-end data validation systems in Hadoop environment for lineage, schema evolution Lead system design for Hadoop/Hive test environments, including YARN resource management, agile partitioning. Exposure to Zephyr-Jira-ServiceNow integrated test management systems with experience on API-driven automation. Design CI/CD test pipelines for PySpark/Hadoop jobs, incorporating artifact management, parallel execution, and blue-green deployments. Create data quality system designs using PySpark integrated with Hive metadata services. Design testing platforms, test data generators Mentor juniors on PySpark testing basics, contribute to testing strategy discussions Spark session configurations for memory and core allocations for both local and cluster manager settings Data handling with distributed file systems like HDFS and writing back to hive tables Implementation of Partitioning, caching techniques in organizing code for transformation pipelines

📌 Pyspark (Tamil Nadu)
🏢 Tata Consultancy Services
📍 Tamil Nadu