[8GS] Data Quality Engineer

Company Description

GS1 Standards have been used for more than 45 years. In 1973, the grocery industry came together to agree on one way of doing business by adopting the U.P.C. barcode to drive speed and efficiency at retail check out. This cooperation marked the beginning of GS1 US¨ and our mission to help organizations of all sizes Ð ranging from large multi-national corporations to small start-up businesses Ð uniquely and consistently identify products, assets, shipments, and physical locations throughout the global supply chain while also enabling trading partners to exchange information critical to their businesses. Today, the beep of a barcode is heard over 6 billion times per day and GS1 Standards are the most widely used system of standards in the world. More than 300,000 businesses in 25 industries are members of GS1 US, including organizations in the apparel, general merchandise, grocery retail, foodservice, and healthcare industries. GS1 US continues to build on our ability to provide a common foundation that moves business forward - from enhancing product information transparency and enabling more precise product recalls to improving inventory visibility across retail channels and helping healthcare professionals deliver quality patient care. GS1 Standards offer businesses the capability to drive efficiencies today and innovate for tomorrow. 

Job Description

• Experience in data quality assurance practices, including data profiling, data validation, and data cleansing.
• Familiarity with data quality frameworks and best practices for data governance.
• Ability to design and execute test cases for data transformations, and data ingestion workflows.
• Proficiency with Synapse SQL for querying and validating data in Azure Synapse.
• Experience with data integration and transformation workflows in Synapse Pipelines (integrated with Azure Data Factory).
• Experience in Power BI report testing, including data accuracy validation, and dashboard functionality checks.
• Ability to validate data consistency between data sources (e.g., Synapse) and Power BI reports.
• Familiarity with Power BI data modeling and DAX (Data Analysis Expressions) for testing and troubleshooting calculations.
• Experience with data versioning, data lineage tracking, and audit trails for quality assurance. 

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Qualifications

Experience:

• 3+ years of experience in a data quality, data testing, or data engineering role.
• Hands-on experience with Azure Synapse and Power BI testing is essential.
• Experience with data quality management tools and automating testing processes is a plus.

Soft Skills:

• Analytical and problem-solving skills to troubleshoot data issues and optimize data quality processes.
• Attention to detail to identify data anomalies and maintain high standards for data accuracy.
• Strong communication skills to collaborate with data engineers, BI developers, and business stakeholders. 

Critical Technology Proficiency

Azure, Cloud, Power BI Report Testing, good SQL server, data validating skills (validate data between the test source and the destination), writing test cases, database testing