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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. - Solid 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. .