Back
Mid-level Bengaluru QA automation role with broad skills and recognizable employer increases candidate competition.
Requires ETL/data migration testing expertise, moderately limiting cross-industry transferability.
Requires 5+ years, domain-specific data testing experience and mandatory automation stack (Python, Pytest, SQL, AWS).
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and maintain Quality Assurance framework for Gen AI platforms and data products.
Drive quality throughout the data product lifecycle via collaboration, test case development, automation scripting, and system analysis.
Contribute to automation of data validation and performance testing including load testing to ensure robust data handling.
5+ years experience in Data Testing with expertise in data migration, ETL, and data warehouse testing.
Strong proficiency in SQL for testing and data analysis.
Hands-on experience with Python, Pytest, and automation of data validation processes.
Bachelor's or Master's degree in Computer Science or related technical field.
Experience working with Generative AI (GenAI) technologies like LLM, RAG is preferred to support relevant AI platform quality needs.
Familiarity with AWS data services (S3, Glue) indicating ability to operate in cloud-based data environments.
Track record of applying professional software engineering and testing best practices across full software development lifecycle.