Data QA Engineer – Enterprise Data

📋 Description

• Validate ETL pipelines for data accuracy across enterprise systems.
• Verify migrations and ensure business logic is preserved in transformed data.
• Test core DB objects: procedures, triggers, views, functions.
• Assess BI outputs in Tableau and Power BI for accurate reporting.
• Build automated tests for regression and integration testing.
• Collaborate with devs, data analysts, and product teams on defects.

🎯 Requirements

• Advanced SQL for deep data verification and troubleshooting.
• Experience validating ETL/ELT pipelines and data warehousing.
• Proven UI of test docs: test plans, results, defects (JIRA/TestRail).
• Automation skills in Python, Selenium (with SQL assertions).
• Familiarity with BI tools Tableau/Power BI and data normalization.
• Understanding of query plans, indexing, and performance tuning.

🎁 Benefits

• 100% Remote Work from anywhere.
• Competitive USD pay.
• Paid time off.
• Autonomy to manage your time and deliver results.
• Opportunity to work with US-based companies.