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Remote role and mid-level experience with moderate employer brand lead to medium competition.
ETL and data QA skills transfer across industries but require specific data warehousing knowledge, so medium sensitivity.
Explicit 5+ years requirement plus mandatory ETL, SQL Server and reporting skills produce high shortlisting strictness.
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Validate ETL processes, data transformation logic, and ensure accuracy, completeness, and consistency of data across ETL pipelines, reporting environments, and databases.
Develop and execute ETL test cases including source-to-target validation, data reconciliation, and data quality testing.
Investigate production data issues, support root cause analysis for defects, and participate in release validation activities.
5+ years of ETL/Data QA experience.
Strong SQL Server skills including stored procedures, views, joins, window functions, and performance analysis.
Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.
Experience in Agile environments and proficiency with tools such as Azure DevOps, Git, Excel, Postman, and preferably TestRail.
Experienced in validating data warehouses, reporting platforms (SSRS, Power BI), and enterprise reporting solutions.
Demonstrates strong analytical skills with high attention to data accuracy and problem-solving focus.
Comfortable collaborating closely with developers and working in Agile teams with ownership-driven approach.