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Mid-level Bangalore QA at a prominent AI firm with common title and 5+ years, creating high competition.
Data-testing and ETL focus requires domain-specific experience, moderately reducing cross-industry transferability.
Explicit 5+ years plus mandatory data-testing, SQL, Python and AWS skills make shortlisting highly strict.
Develop and maintain Quality Assurance framework for the entire organization and Gen AI platforms.
Drive quality throughout the entire data product lifecycle including collaboration on test case development, automation scripts, and system analysis.
Support deployment and monitoring of quality standards, including performance and load testing for data handling.
5+ years experience in data testing roles focusing on data migration, ETL, and data warehouse testing.
Proficient in SQL and Python with hands-on experience in Pytest and automation of data validation processes.
Familiarity with AWS ecosystem and data services such as S3 and Glue.
Bachelor's or Master's degree in Computer Science or related technical field (B.E/B.Tech/M.Tech or equivalent).
Experience with Generative AI technologies (e.g., LLM, RAG) preferred but not mandatory.
Strong background in data migration projects and ETL testing with knowledge of test approaches for migration validation.
Skilled at collaborating across engineering, support, and business teams to define test cases and automate testing frameworks.