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.