Sobre

• 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

• Proficiency in SQL writing complex queries, joins, and aggregations used in validating analytical outputs.
• Hands-on testing experience with data quality/integrity testing frameworks such as Great Expectations.
• Python experience for scripting, data validation, and automation.
• Exposure to BI/analytics tools such as Tableau, Power BI, or similar
• 2 or more years of experience in Quality engineering with a strong focus on data testing, analytics validation, and Business Intelligence/Extract, Transform, Load (BI/ETL) systems.
• Knowledge of Agile methodologies such as Scrum and Kanban
• Strong communication abilities with data engineers and data stakeholders relating to data system changes and data inquiries
• Ability to develop a deep domain knowledge of relevant business data models
• Preferred Technical but not Required
• Experience with DBT best practices.
• Experience with Semantic Layer tools (ie Metric Flow, Cube, DataPlex or similar)
• Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits.
• #LI-Remote