Data Quality Analyst

• Data Quality Analyst - Data Engineering & Analytics Testing
• Remote Role
• Long Term Contract

Must Have:

• Snowflake
• Databricks
• Azure Data Factory (ADF)
• Azure Data Lake
• SQL
• 7+ years of experience in QA, Data Warehouse Testing, ETL Testing, or Data Quality Validation

Description:

• Lead QA activities for Data Engineering and Analytics projects.
• Design and execute comprehensive test strategies, test plans, and test cases for data pipelines and data platforms.
• Validate data transformations, aggregations, calculations, and business rules across Databricks, Snowflake, and Azure Data Factory (ADF).
• Perform end-to-end ETL/ELT testing, including source-to-target reconciliation and data validation.
• Validate data across bronze, silver, and gold layers within Medallion Architecture.
• Conduct data quality testing, including:
• Null validation
• Duplicate checks
• Row count validation
• Data reconciliation
• Referential integrity checks
• Data freshness validation
• Business rule validation
• Develop and implement reusable automation frameworks for data testing and validation.
• Create and execute SQL-based test cases to validate large datasets and complex business logic.
• Collaborate with Data Engineers and Architects to define quality standards and acceptance criteria.
• Perform root cause analysis and support defect resolution activities.
• Participate in Agile ceremonies and lead QA planning, execution, and reporting.
• Mentor QA team members and promote QA best practices across projects.
• Extensive experience in Data Warehouse and ETL/ELT testing.
• Strong understanding of Medallion Architecture and modern data platforms.
• Expertise in source-to-target mapping validation and data reconciliation testing.
• Experience validating complex business rules and data transformations.
• Strong analytical, troubleshooting, and problem-solving skills.
• Experience leading QA teams and coordinating testing activities across projects.
• Experience working in Agile/Scrum environments.