Full Description

Develop and validate complex ETL processes using SQL, Oracle, Hive, and backend data-flow understanding. Write and optimize complex queries and compare large datasets using SQL and Python. Analyze backend application logs and work extensively with Unix/Linux commands for troubleshooting. Perform automation testing using Python-based Robot Framework (mandatory) and Selenium. Validate database structures, including indexes, constraints, and normalization concepts. Collaborate with development and data engineering teams to ensure accurate, high-quality data processing. Support end-to-end validation of ETL pipelines, backend jobs, and data-driven applications.