Full-Time Data QA/Tester
Keyrus Portugal is hiring a remote Full-Time Data QA/Tester. The career level for this job opening is Experienced and is accepting Portugal based applicants remotely. Read complete job description before applying.
Keyrus Portugal
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Job Summary
Keyrus is looking for a Data QA/Tester. The ideal candidate is confident in designing and executing test plans within Data Architecture. You will play a crucial role in maintaining data quality and contribute to the overall data governance framework. We value individuals who are detail-oriented, independent contributors with exceptional communication and problem-solving skills, ensuring that together, we continue to transform possibilities into reality.
Key Responsibilities
- Design, develop, and execute comprehensive test plans to assess data quality, accuracy, and completeness
- Collaborate with data engineers, analysts, and business stakeholders to identify testing requirements and priorities
- Perform data profiling and validation activities to identify data quality issues
- Create and maintain test cases and scripts to ensure consistent testing processes
- Analyze test results and report defects or anomalies to the appropriate teams
- Contribute to the creation and maintenance of the Business Glossary
- Participate in data lineage activities to understand data flow and dependencies
- Collaborate with the Data Quality team to implement data quality improvement initiatives.
Requirements for the role
- +4 years of experience in data testing methodologies and techniques
- Proficiency in SQL and data analysis tools
- Understanding of data quality concepts and metrics
- Strong analytical and problem-solving skills
- Ability to work effectively in a fast-paced, agile environment
- Excellent communication and collaboration skills
- Fluent in English
- Must be a Portuguese or European citizen or have a work permit for Portugal
Preferred Skills and Experience
- Experience with data visualization tools (Power BI)
- Familiarity in test automation using Python
- Knowledge of data modelling concepts (Erwin)
- Familiarity with data governance and metadata management tools (Alation)
- Experience with data quality tools (Experian)
- Cross-cultural environment experience.