Seeking to hire a long-term Contractor based out of Argentina, Brazil, Colombia, Costa Rica, or Mexico for a Data Quality Engineer with strong technical expertise and hands-on experience in ensuring the quality and accuracy of data. You will play a key role in developing and implementing data Quality standards and procedures, ensuring the integrity of reports, dashboards, and data exports.
Scope of Services:
- Develop, maintain, and execute various data testing approaches, including validating data sources, applying/validating transform logic, and ensuring data accuracy.
- Design, execute, and maintain regression tests that cover data quality, transformation logic, aggregation rules, and business logic validation.
- Contribute to ensuring data testing best practices are included in CI and deployment steps.
- Identify root causes for data quality defects and develop sustainable countermeasures.
- Monitor reporting & BI (Tableau) dashboards and proactively identify anomalies, inconsistencies, and gaps.
- Develop and maintain automated test scripts for data validation using Python-based frameworks or similar.
- Write SQL queries to validate data integrity and ensure analytical outputs are aligned with business requirements within the data testing frameworks.
- Partner with data engineers and business intelligence developers to verify model accuracy, statistical outputs, and integration of analytical components.
- Support validation of AI/ML models by testing input/output integrity and ensuring model-driven results are aligned with business logic.
Skills & Experience:
Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits.
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