Data Quality Engineer

6 days ago

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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.

Requirements

• 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. • 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.