Data QA Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data QA Engineer based in Canada. As a Data QA Engineer, you will play a key role in ensuring the accuracy, reliability, and quality of data delivered to customers across a range of web scraping and AI-assisted projects. You will take ownership of quality assurance from the early stages of project development, translating customer requirements into clear and effective testing strategies. Combining exploratory testing, automated validation, and data analysis, you will identify inconsistencies, detect defects, and help prevent quality issues before they reach production. You will work closely with developers, project managers, QA leadership, and customers to establish measurable quality standards and continuously improve testing practices. Using Python, SQL, and modern testing technologies, you will turn complex data into actionable quality insights. Joining a globally distributed and collaborative team, you will enjoy the autonomy to improve processes and contribute to innovative data solutions. Accountabilities - Translate customer data extraction and web scraping requirements into clear, measurable testing strategies, taking ownership of quality assurance from the beginning of new projects. - Design and execute comprehensive test plans combining exploratory, manual, visual, and automated testing approaches according to project needs. - Perform regular testing cycles on extracted datasets to validate data accuracy, completeness, consistency, and reliability. - Identify, investigate, document, and report defects with clear reproduction steps and sufficient technical detail to enable developers to resolve issues efficiently. - Apply descriptive statistics, data summaries, and visualizations to assess data quality, identify anomalies, and monitor potential data drift. - Prepare detailed test reports and quality scores, providing internal stakeholders and customers with an accurate understanding of project quality and potential risks.

- Clearly communicate testing coverage, limitations, unresolved issues, and remaining risks throughout the delivery process. - Collaborate with project managers and customers to clarify requirements, identify ambiguities, and ensure that expectations are measurable and testable before QA activities begin. - Contribute to the development and continuous improvement of test automation frameworks, focusing on test coverage, reliability, and performance. - Identify and implement improvements to QA processes and tools, including browser extensions, spreadsheet add-ons, and user-interface-based testing solutions. - Work closely with QA leadership, developers, and project managers to maintain high-quality standards while operating with a high degree of independence. Requirements: - At least 5 years of professional experience as a QA Engineer or in a comparable quality assurance role, preferably involving software testing, data validation, or data quality. - Strong Python programming skills, ideally with practical experience using Pandas and Jupyter Notebook for data analysis, processing, and validation. - Basic to intermediate SQL knowledge, with the ability to write queries and work confidently with at least one relational database and its associated tools. - Solid understanding of web technologies and protocols, including HTML, XPath, JSON, and CSS. - Practical experience designing and executing tests for and REST APIs. - Strong knowledge of test case design, test planning, test execution, and test data management. - Understanding of key data quality concepts, including completeness, accuracy, consistency, reliability, and data drift. - Experience working in Agile development environments, including Scrum or Kanban, and collaborating closely with software developers.