QA

Hi
We are looking for QA for one of our renowned IT client based in Poland. If interested please share your updated CV to discuss further on the role. Remote working.

Email:

Location: Poland Remote

Is it Permanent/ Contract: Contract

Is it Onsite/Remote/Hybrid: Remote

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.

Key Responsibilities

• 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.
  

Required Qualifications

• Bachelors 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.
  

Preferred Qualifications

• 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 GitHub Actions).
  

• Experience using Python for test automation and scripting.