Data Quality Analyst
The Judge Group
IT, Data Science, Quality Assurance
Remote
Posted on May 7, 2026
Title: Data Quality Analyst
Type: Contract - 6+ Months
Location: Remote EST Hours
Seeking a detail-oriented QA Analyst to support a critical data migration initiative from on-premise databases to Databricks. This role focuses on validating migrated data, ensuring data integrity, and providing clear, actionable reporting on testing outcomes. The ideal candidate has strong SQL and Python skills with hands-on experience in data validation and test automation.Key Responsibilities
- Develop and execute test plans to validate data migrated from on-premise systems to Databricks
- Write, maintain, and execute test cases using SQL and Python for data validation and reconciliation
- Perform data quality checks, including completeness, accuracy, and consistency
- Compare source and target datasets to identify discrepancies and data issues
- Document test results and produce clear test reports for technical and non-technical stakeholders
- Communicate findings, including defects, risks, and recommended solutions
- Collaborate with data engineers and developers to troubleshoot and resolve data issues
- Track defects, verify fixes, and perform retesting as needed
Required Qualifications
- 3+ years of experience in QA, data validation, or a related role
- Strong SQL skills, including complex queries, joins, and aggregations
- Hands-on experience using Python for data validation or testing
- Experience testing data pipelines, ETL/ELT processes, or database migrations
- Ability to analyze large datasets and identify inconsistencies
- Experience creating test documentation and reports for technical teams
- Strong attention to detail and problem-solving skills
Preferred Qualifications
- Experience with Databricks, Spark, or cloud-based data platforms
- Familiarity with data warehousing concepts
- Experience with test automation frameworks or data validation tools
- Knowledge of Delta tables or modern data lake architectures
- Experience working in Agile or fast-paced project environments
Deliverables
- Comprehensive test cases developed in SQL and Python
- Data validation results and reconciliation reports
- Defect logs with root cause analysis
- Summary reports with findings and recommended solutions
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