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Tier-1 brand, mid-level QA role, Bangalore metro, and generalist automation expectations increase competition.
Data-testing and GenAI specialization limits transferability, but QA automation skills remain broadly applicable.
Explicit 5+ years plus mandatory data-testing, SQL/Python/AWS and automation requirements enforce strict filtering.
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Develop and maintain a Quality Assurance framework focused on data products and Gen AI platforms.
Collaborate with product and development teams to create and execute test cases and automation scripts for data lifecycle quality assurance.
Contribute to data validation automation, defect management, and performance testing, ensuring high quality standards across data migration and ETL processes.
5+ years of experience in data testing, specifically data migration, ETL, and data warehouse testing.
Proficiency in SQL and hands-on experience with Python, Pytest for automation of data ingestion, validation, and reconciliation.
Clear understanding of AWS data services such as S3 and Glue.
Bachelor's or Master's degree in Computer Science or related technical field.
Experience or working knowledge of Generative AI technologies such as LLM and RAG.
Familiarity with professional software engineering practices across the full software development life cycle.
Proven ability to collaborate effectively with engineering, support, and business teams to define and execute test strategies for complex data environments.