Data QA Engineer – Enterprise Data

📋 Description Validate ETL pipelines and ensure data accuracy across enterprise data ecosystems. Verify data migrations and data quality before analytics layers and decision-making. Collaborate with DBAs to optimize performance and fix slow queries. 🎯 Requirements Advanced SQL for complex data verification and troubleshooting. Experience validating ETL/ELT pipelines and data warehousing environments. Hands-on testing of database objects; data normalization and schema validation. Experience with test planning and defect tracking tools (JIRA, TestRail). Automation skills with Python, Selenium (SQL assertions), or similar. Familiarity with BI tools like Tableau and Power BI. 🎁 Benefits 100% Remote Work. USD compensation beyond typical market offerings. Paid time off; autonomy in work planning. Work with top American companies and global teams.