Data QA Engineer

📋 Description

• Translate customer data extraction and web scraping requirements into clear, testable criteria and
• Perform exploratory, manual, and visual testing, complemented by automated testing where it
• Execute test cycles on extracted datasets to validate compliance with customer specifications and
• Document defects clearly and thoroughly, providing reproducible steps and supporting evidence so
• Apply descriptive statistics, data summaries, and visualizations to assess completeness, accuracy
• Prepare quality reports and scoring metrics that communicate results honestly to internal teams

🎯 Requirements

• At least 5 years of experience as a QA Engineer or in a comparable role involving software testing
• Proficiency in Python for data analysis and validation, preferably using Pandas and Jupyter
• Basic to intermediate SQL skills, including the ability to query and validate data in at least one
• Strong understanding of web technologies and protocols, including HTML, XPath, JSON, HTTP, and CSS.
• Experience testing HTTP/REST APIs and validating their responses against expected requirements.
• Solid knowledge of test case design, test data management, and practical approaches to exploratory

🎁 Benefits

• 35 days of paid holidays, supporting substantial time away from work.
• Flexible, location-independent working, with the freedom to work from where you are most productive.
• Global, multicultural team: Join a self-motivated, progressive, and internationally distributed
• Modern technology: Work with cutting-edge open-source technologies and tools.
• Autonomy and ownership: Contribute ideas, take responsibility for improvements, and help shape QA
• Collaborative environment: Work closely with technical and project teams to solve meaningful data