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Strong employer brand, mid-level generalist QA automation role, and Bengaluru metro location increase applicant competition.
Data testing and automation skills are transferable across industries but require specific ETL/migration experience.
Explicit 5+ years plus mandatory SQL, Python, Pytest, AWS and data-testing skills indicate strict filters.
Develop and implement Quality Assurance frameworks for data products and Gen AI platforms.
Lead testing efforts for data migration, ETL, and data validation including automation of data ingestion and reconciliation processes.
Collaborate with product and development teams to define test cases, execute data validations, and support performance testing including load testing.
5+ years of experience in data testing, focusing on data migration, ETL, and data warehouse testing.
Proficiency in SQL and hands-on experience with Python and Pytest for automation testing.
Strong knowledge of AWS data services such as S3 and Glue.
Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.
Experience or working knowledge of Generative AI technologies such as Large Language Models (LLM) and Retrieval-Augmented Generation (RAG).
Background in automating data validation processes using data frames and Python automation frameworks.
Familiarity with professional software engineering best practices and full software development lifecycle for data-centric projects.