Senior QA Engineer(Data Platform Testing)
The Senior QA Engineer (Data Platform Testing) at Experian will be part of a dynamic data platform team dedicated to ensuring the highest standards of data quality, reliability, and security. Experian is a global leader in information services, delivering critical data insights to organizations and individuals. This role is central to the company's efforts to maintain robust and scalable data platforms that serve a diverse range of internal and external clients.
In this position, the Senior QA Engineer will design and execute test plans for complex data systems, with a primary focus on validating data pipelines, integrations, and platform performance. Day-to-day work involves collaborating closely with software developers, data engineers, and product managers to identify issues, troubleshoot problems, and drive initiatives for automated testing. The engineer will oversee end-to-end testing strategies to guarantee seamless data flows and the accuracy of platform outputs.
Candidates for this role should possess a bachelor’s degree in Computer Science, Engineering, or a related field, along with significant experience in QA for data-centric platforms. Strong proficiency in SQL, automated testing frameworks, and scripting languages is required, as well as deep knowledge of data validation, ETL processes, and cloud data services. Excellent analytical and communication skills, attention to detail, and a proactive approach to problem-solving are essential for success in this team-driven environment.
Experian offers a comprehensive compensation and benefits package, including competitive salaries, performance-based bonuses, health and wellness programs, and ample opportunities for professional growth. Employees enjoy flexible work arrangements, continuous learning resources, and a supportive, inclusive culture that values innovation.
Working at Experian means joining a global organization that values curiosity, collaboration, and continuous improvement. The company is committed to the professional development of its staff and provides a pathway for career advancement within the fast-growing field of data and analytics. This is an excellent role for professionals eager to make an impact on mission-critical data platforms at scale.