Data Quality Engineer

Responsibilities

• Define and implement Quality Engineering best practices for enterprise data products.
• Develop and execute test strategies for data pipelines, ETL processes, and data transformations.
• Validate data across multiple layers of the data platform, ensuring accuracy, completeness, and consistency from source systems through curated data products.
• Perform data validation across Microsoft Azure OneLake using a Medallion Architecture (Bronze, Silver, Gold).
• Verify data movement and transformation between on-premises and Azure-based data sources.
• Partner with Data Engineers, Product Owners, Architects, Business Analysts, and external delivery partners to embed quality throughout the development lifecycle.
• Create reusable test scenarios and validation frameworks that can be adopted consistently across multiple data product teams.
• Execute source-to-target data validation, reconciliation, and transformation testing.
• Identify, document, and track defects while working closely with development teams to resolve data quality issues.
• Support regression testing for enhancements to existing data products.
• Contribute to automation efforts for data validation and ETL testing where appropriate.
• Participate in release validation and production readiness activities.
• Help establish testing standards that improve delivery velocity while maintaining data quality.

Requirements

• 5+ years of Quality Engineering or QA experience with a strong focus on data platforms.
• Experience testing ETL/ELT pipelines and data transformation processes.
• Strong SQL skills for data validation and reconciliation.
• Experience validating large datasets across multiple source systems.
• Experience working with cloud data platforms, preferably Microsoft Azure.
• Understanding of modern data architectures, including data lakes and Medallion Architecture (Bronze, Silver, Gold).
• Experience testing data ingestion, transformation, and data integration workflows.
• Strong analytical and troubleshooting skills.
• Experience working in Agile development environments.

Preferred Qualifications

• Experience with Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, or OneLake.
• Experience validating enterprise reporting and analytical data products.
• Knowledge of Customer 360 or master data management concepts.
• Experience with test automation for data validation.
• Familiarity with notebook orchestration, scheduled pipelines, and data workflow automation.
• Experience working alongside offshore or vendor development teams.

Benefits

• Support for diversity and inclusion in the workplace.
• Local and global opportunities for internal rotation and international mobility.
• A clear view of career progression within the company.
• A flexible and casual work culture with employee events and amenities.
• Access to QualityAI Tech Academy for training and mentorship programs.
• Bonuses through client and employee referral programs.
• A competitive salary range of $80,000 - $100,000.