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 setting for lineage, schema evolution - Lead system design for Hadoop/Hive test environments, including YARN resource management, dynamic 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 (Chennai)
🏢 Tata Consultancy Services
📍 Chennai