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.
📌 Swiftwin - ETL QA (Pune)
🏢 NextHire
📍 Pune
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.