Gen AI QA - Automation Testing

This QA Automation Engineer role focuses on building and maintaining quality assurance frameworks for data platforms and GenAI applications, covering the full data product lifecycle. You will validate data migration, ETL, and data warehouse processes, write automation scripts using Python and Pytest to automate data ingestion, validation, mapping, reconciliation, and incremental load testing. The role requires extensive SQL knowledge for data analysis and testing, familiarity with the AWS ecosystem including S3 and Glue, and hands-on experience automating data validations using dataframes and Python setups. You will collaborate with engineering, support, and business teams to define test cases, contribute to performance and load testing, and help develop test automation frameworks. Knowledge of GenAI technologies such as LLMs and RAG pipelines is a preferred advantage.