Senior Data QA Engineer ensuring high-quality Data and Analytics testing for KPMG's Tax & Legal business. Collaborating with software and QA engineers while guiding junior testers.
Responsibilities
Working in a team of Software Engineers and Quality Assurance Engineers across a variety of projects for both clients and internal professionals.
Continuously monitoring and guiding the junior testers to achieve the highest quality and QA standards.
Responsible to deliver comprehensive quality assurance and testing for all product developments, enhancements and fixes for software, including release and system testing with usage of automation.
Ensure that the quality of software is maintained at the highest possible levels, increasing the satisfaction of customers and reducing the number of issues using automated technologies.
Requirements
Extensive experience in Data and Analytics testing using tools such as Alteryx, Azure Data Factory, or languages such as SQL and Python.
Proficiency in participating in User Acceptance Testing (UAT), with experience in leading such initiatives.
Exposure to advanced platforms and tools including Databricks, ADLS, Python, Azure SQL, Fabric, and PowerApps.
Demonstrated ability in Data migration, Data Transformation and Validation testing using manual or automated tools, with a focus on ensuring data integrity and quality.
Experience in PowerBI Dashboard and PowerApps testing, ensuring the accuracy of metrics and features through manual or automated methods.
Proficiency in continuous integration and delivery, with experience using tools like GitHub Actions or Azure DevOps to maintain efficient test pipelines.
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