Data Quality Engineer – Azure Data Platform Testing Overview Seeking a seasoned Azure Data Engineer Tester to drive test strategy and ensure data quality across a large-scale Azure data platform modernization initiative. Data is a critical enterprise asset, and this role ensures accurate ingestion, transformation, storage, and reporting across cloud-based data solutions. The ideal candidate has test lead experience, strong automation skills, Agile exposure, and familiarity with P&C insurance domains. Key Responsibilities Test Strategy & Leadership • Drive overall test strategy and create effective test cases and scenarios based on business and user requirements • Define and implement test automation strategy, ensuring the right balance of manual and automated testing • Participate in architecture, design, requirements, and code reviews; provide feedback to stakeholders Azure Data Pipeline Testing • Test Azure data pipelines built using services such as Microsoft Azure, Azure Data Factory, and Azure Synapse Analytics • Validate end-to-end data movement from source to destination across batch and streaming workflows Ensure Data Quality & Accuracy • Validate ETL/ELT transformations across Medallion architecture layers • Identify missing, duplicate, or incorrect data and ensure business rules are applied accurately • Validate analytical outputs such as dashboards, reports, and data visualizations Database & Storage Validation • Test data stored in Azure SQL Database and Azure Data Lake Storage for integrity, reliability, and performance • Validate schema, source-to-target mappings, and data models Automation & Performance Testing • Develop automated test scripts using SQL, Python, and PySpark • Perform performance, scalability, and load testing of pipelines and data platforms • Track defects and test cycles using Jira Desired Skills & Competencies Data & Technical Acumen • Strong understanding of data warehousing concepts, star schemas, data marts, and Medallion architecture • Ability to read data models and update source-to-target mapping documents • Hands-on experience with Snowflake, Azure, DBT, Python, and PySpark Industry & Methodology • Experience working in Agile environments • Knowledge of Property & Casualty (P&C) and Specialty Insurance is preferred Key Responsibilities Test Strategy & Leadership • Drive overall test strategy and create effective test cases and scenarios based on business and user requirements • Define and implement test automation strategy, ensuring the right balance of manual and automated testing • Participate in architecture, design, requirements, and code reviews; provide feedback to stakeholders Azure Data Pipeline Testing • Test Azure data pipelines built using services such as Microsoft Azure, Azure Data Factory, and Azure Synapse Analytics • Validate end-to-end data movement from source to destination across batch and streaming workflows Ensure Data Quality & Accuracy • Validate ETL/ELT transformations across Medallion architecture layers • Identify missing, duplicate, or incorrect data and ensure business rules are applied accurately • Validate analytical outputs such as dashboards, reports, and data visualizations Database & Storage Validation • Test data stored in Azure SQL Database and Azure Data Lake Storage for integrity, reliability, and performance • Validate schema, source-to-target mappings, and data models Automation & Performance Testing • Develop automated test scripts using SQL, Python, and PySpark • Perform performance, scalability, and load testing of pipelines and data platforms • Track defects and test cycles using Jira Bachelors Degree