Gen AI QA - Automation Testing (Senior Engineer / Engineer)
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level (5+ yrs), metro Bengaluru, generalist automation/data QA title increases applicant competition.
Data-testing, SQL and Python skills are broadly transferable across industries despite GenAI preference.
Explicit 5+ years, mandatory data-testing domain experience, SQL, Python/Pytest and cloud skills increase filter strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and own Quality Assurance framework specifically for data products and Gen AI platforms within the Data Management & Platforms team.
Design, develop, and execute test cases and automation scripts focusing on data migration, ETL, data validation, and performance/load testing.
Collaborate with cross-functional teams including engineering, support, and business users to ensure consistent and high-quality data product delivery.
Minimum Requirements
5+ years experience in Data Testing including data migration, ETL, and data warehouse testing.
Proficient in SQL for testing and analysis; hands-on experience with Python and Pytest for automation of data validation tasks.
Understanding of AWS ecosystem and data services such as S3 and Glue.
Bachelor's or Master's degree in Computer Science or related technical field.
Ideal Candidate Profile
Experience with Generative AI (GenAI) technologies such as LLM and RAG is preferred, indicating familiarity with AI-driven data products.
Proven track record in automating data validation including use of dataframes and Python-based setups.
Comfortable working in a cross-functional environment requiring collaboration with engineering, support teams, and business stakeholders for quality assurance.