- Proficient in writing complex SQL queries for data validation, aggregation, and transformation checks.
- Hands-on experience with ETL testing and data quality validation techniques.
- Robust proficiency in Python Scripting Language.
- Experience with automation frameworks like PyTest for test scripting and execution.
- Proficient in Unix/Linux command-line tools for file manipulation, job scheduling (cron), log analysis, and scripting (Bash/shell).
- Knowledge of version control (Git) and experience integrating tests in CI/CD pipelines (e.g., Jenkins).
- Familiarity with tools like Airflow is a plus.