Join our team as a Lead Data Quality Engineer.
The selected individual will play an essential role in guaranteeing the accuracy and quality of data contained in reports, in alignment with UI design and data available in the application.
Leverage your expertise with us and apply!
Responsibilities
- Undertaking data quality assessments using data from the primary application to ensure data quality
- Performing regression testing to verify data quality and pinpoint potential problems
- Creating test cases to confirm the accuracy and completeness of data
- Analyzing and communicating test results to stakeholders
- Verifying the accuracy of visual implementations in line with UI design in reports
Requirements
- A minimum of 5 years' experience in Data Quality Engineering
- At least 1 year of relevant leadership experience
- Familiarity with BI testing
- Proficiency in Python
- Skills to create test cases and conduct analyses and reporting of test results
- Fluent English communication skills at a B2+ level
Nice to have
- Experience with Amazon Web Services, Azure DevOps, or GCP is preferred
- Familiarity with Databricks would be beneficial
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