Pyspark

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, 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