Hybrid Senior Data QA Engineer

Posted 1 hour ago

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About the role

  • 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.

Benefits

  • Flexible working arrangements
  • Professional development opportunities

Job title

Senior Data QA Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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