Data QA

Roles and responsibilities

The responsibilities of the role include:

• Collaborate with stakeholders to gather data testing requirements and understand business needs.
• Lead, design and execute test plans for data pipelines, ETL processes, and analytics platforms.
• Validate data accuracy, integrity, and transformations across systems.
• Develop and maintain automated test scripts for data validation and reporting.
• Identify data quality issues, report defects, and verify fixes.
• Work in Agile teams, contributing to continuous improvement and best testing practices.

Requirement

• Proven expertise in testing Data and Analytics components, with strong contributions to test strategy development.
• Skilled in data transformation and validation testing, ensuring data integrity through both manual and automated methods.
• Experience in testing Power BI dashboards and PowerApps, ensuring accuracy of metrics and visualizations.
• Hands-on experience in projects leveraging tools like Alteryx, Azure Data Factory, and programming languages such as SQL and Python.
• Familiar with modern data platforms and tools including Databricks, Azure Data Lake Storage (ADLS), Azure SQL, Microsoft Fabric, and PowerApps.
• Proficient in leading User Acceptance Testing (UAT) and coordinating with business users.
• Strong collaboration skills to resolve data-related technical issues and support data infrastructure requirements.
• Keeps up-to-date with emerging trends and technologies in the data and analytics space.