Job Description:
• Perform source-to-target data validation using SQL (manual and automated).
• Validate transformations and ensure data completeness across ETL pipelines.
• Test ETL workflows, dimensional models, and reports.
• Execute ETL processes using scheduling and data integration tools.
• Develop and execute data validation test plans.
• Identify, document, and resolve data quality issues with engineering teams.
• Ensure data consistency across multiple reporting systems.
• Implement QA automation frameworks for data testing.
• Partner with business analysts, data engineers, and QA leads to define requirements.
• Support testing infrastructure under Lead Data QA Engineer guidance.
• Prepare detailed reports on data validation results and quality metrics.
Requirements:
• Bachelor’s or Master’s in Computer Science or related field.
• 2–7 years of experience in data warehouse or ETL testing.
• Strong understanding of Data Warehousing, ETL, and Data Quality concepts.
• Proficiency in SQL, RDBMS , and ETL validation.
• Experience validating reports in Tableau, Power BI , or similar BI tools.
• Strong attention to detail and analytical mindset.
• Excellent communication and collaboration skills.
• Willingness to provide off-hour support when required.
Benefits:
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