ETL QA Engineer

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

Requirements

• 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

Preferred Qualifications

• Experience with test management tools like JIRA, HP ALM, or TestRail
• Exposure to Big Data and cloud platforms such as AWS or Azure