Job Title: ETL QA Engineer
Experience: 4+ Years
Location: Pune / Bangalore
We are looking for an experienced ETL QA Engineer with a strong background in data testing, particularly in SAP HANA/ECC environments.
The ideal candidate should be proficient in validating large data sets using SQL, PySpark, and have a deep understanding of data parity and historical data validation.
Design, develop and execute ETL test cases to validate data movement and transformations.
Perform Data Parity and Historical Data Validation across multiple data sources and targets.
Validate complex data pipelines involving SAP HANA / ECC systems.
Create and execute SQL queries for data validation and defect tracking.
Work closely with data engineers and developers using PySpark for test data setup and validations.
Analyze business and technical requirements to determine testing needs.
Report bugs and track resolutions in a timely manner.
Minimum 4 years of hands-on experience in ETL Testing .
Strong experience with SAP HANA / ECC based data extraction and validation.
Good working knowledge of PySpark for handling large data volumes.
Expertise in SQL – writing complex queries for data validation.
Experience in Data Parity and Historical Data Validation techniques.
Strong understanding of Data Warehousing concepts and ETL processes.
Excellent communication and documentation skills.
Experience with test management tools like JIRA , HP ALM , or TestRail .
Exposure to Big Data and cloud platforms (e.g., AWS, Azure) is a plus.