Data QA Engineer - Remote

Description: Ensure the accuracy of data delivered to customers by performing quality assurance on data produced by spiders and AI projects. Collaborate with project managers and clients to clarify requirements and implement a clear testing approach from the start of new projects. Requirements: 5+ years of experience in a QA Engineer or similar role, focusing on software or data testing. Proficiency in Python (preferably with Pandas and Jupyter) and SQL (basic to intermediate). Strong understanding of web technologies (HTML, XPath, JSON, HTTP, CSS) and experience with HTTP/REST APIs. Good test case design, test data management, and experience in agile environments (Scrum or Kanban). Excellent attention to detail and strong communication skills in English. Benefits: Work remotely with a flexible schedule. Join a self-motivated, multicultural team with access to cutting-edge open source technologies. Enjoy 35 days of paid holidays.