Job Description

Job Title: ETL QA Engineer

Experience: 4+ Years

Location: Pune / Bangalore


Job Description:


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.


Key Responsibilities:




  • 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.




Required Skills:




  • 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.




Good to Have:




  • 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.



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