Data QA Engineer

Title : Data QA EngineerLocation: Minneapolis , Dallas , Atlanta (Onsite)Job Type : ContractExp : 8-15 Years Key Responsibilities:Design, build, and maintain automated data quality frameworks to validate accuracy, completeness, consistency, and timeliness of data.Develop automation scripts using Python/SQL to test data pipelines, ETL/ELT processes, and analytics workflows.Implement data quality checks and monitoring within Azure-based data platforms.Work extensively with Azure services (ADF, ADLS, Synapse) and Databricks for large-scale data processing.Integrate data quality validations into CI/CD pipelines and support proactive issue detection.Perform root cause analysis for data issues and collaborate with data engineering, analytics, and business teams to resolve them.Define and enforce data quality standards, metrics, and SLAs.Required Skills & Qualifications:Strong experience (8–15 years) in data engineering, data quality, or data automation roles.Hands-on expertise with Azure data ecosystem and Databricks.Strong programming skills in Python and SQL.Experience building automated data validation and reconciliation frameworks.Solid understanding of data warehousing, data lakes, and distributed data processing.Familiarity with DevOps/CI-CD practices for data platforms.Preferred Skills:Experience with data observability or data quality tools.Exposure to cloud-scale analytics and performance optimization.Strong communication and stakeholder management skills.