Data Quality Analyst

Data Quality Analyst - Data Engineering & Analytics TestingRemote RoleLong Term ContractMust Have:SnowflakeDatabricksAzure Data Factory (ADF)Azure Data LakeSQL7+ years of experience in QA, Data Warehouse Testing, ETL Testing, or Data Quality ValidationDescription: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 validationDuplicate checksRow count validationData reconciliationReferential integrity checksData freshness validationBusiness rule validationDevelop 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.