QA, IT​/Tech, IT QA Tester ​/ Automation

Overview

This is a remote position. We are looking for QA for one of our renowned IT clients based in Poland. If interested, please share your updated CV to discuss further on the role. Remote working.

Note:

they would be required to work on EST time zone – approx. 1 PM to 8 PM CET.

Role Overview

We are seeking an experienced Data QA Engineer to ensure the quality, accuracy, and reliability of data platforms and pipelines. The ideal candidate will be responsible for validating complex data workflows, executing comprehensive testing strategies, and collaborating closely with engineering and business teams to deliver high-quality data solutions.

• Develop, execute, and maintain detailed test plans, test cases, and test suites for data platforms and applications.
• Perform data validation and testing using complex SQL queries across multiple systems, including modern cloud data platforms.
• Ensure data integrity, accuracy, and consistency across ETL/ELT processes and data pipelines.
• Collaborate with cross-functional teams to understand business requirements and translate them into effective test scenarios.
• Conduct end-to-end testing of data workflows, APIs, backend systems, and reporting tools.
• Identify, document, and track defects and issues with clear reproduction steps and impact analysis.
• Support regression, integration, and performance testing across multiple platforms.
• Contribute to continuous improvement of QA processes, testing tools, and quality assurance strategies.
• Participate in agile ceremonies and support quality standards throughout the software development lifecycle.

• Bachelor’s degree in Computer Science, Information Systems, or a related field (preferred).
• 5+ years of experience in QA, software testing, or data testing roles.
• Strong SQL skills, including writing complex queries for data validation and analysis.
• Hands-on experience testing data within Snowflake or other modern cloud data platforms.
• Solid understanding of the Software Development Lifecycle (SDLC), Agile methodologies, and QA best practices.
• Strong analytical and problem-solving skills with exceptional attention to detail.
• Excellent communication and collaboration skills.

• Experience with ETL/ELT tools and data orchestration frameworks (e.g., Airflow, dbt).
• Familiarity with cloud environments such as AWS, Azure, or Google Cloud Platform.
• Exposure to CI/CD tools (e.g., Jenkins, Git Hub Actions).
• Experience using Python for test automation and scripting.