Job Description for AI Automation QA:

10+ years of QA experience with a strong focus on ETL testing and data validation, including building automated ETL validation infrastructure, testing data transformations, and troubleshooting failed ETL jobs across pipeline stages.
Strong experience in creating ETL , DATA QA Strategy
Strong SnowflakeCortex testing experience, validating Snowflake pipeline outputs against golden datasets using Python, Pandas, and DataCompy as part of automated regression testing.
Hands-on AI engineering/testing experience with OpenCode multi-agent workflows, Claude Code, Codex, MCP servers, RAG-based LLM applications, DeepEval LLM-as-judge testing, Copilot, and Databricks native AI.

AI Snowflake QA Tester

Key skills