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 & hands-on experience in ensuring the quality & accuracy of data. You will play a key role in developing & implementing data Quality standards & procedures, ensuring the integrity of reports, dashboards, & data exports.

Scope of Services:

• Develop, maintain, & execute various data testing approaches, including validating data sources, applying/validating transform logic, & ensuring data accuracy.
• Design, execute, & maintain regression tests that cover data quality, transformation logic, aggregation rules, & business logic validation.
• Contribute to ensuring data testing best practices are included in CI & deployment steps.
• Identify root causes for data quality defects & develop sustainable countermeasures.
• Monitor reporting & BI (Tableau) dashboards & proactively identify anomalies, inconsistencies, & gaps.
• Develop & maintain automated test scripts for data validation using Python-based frameworks or similar.
• Write  SQL queries to validate data integrity & ensure analytical outputs are aligned with business requirements within the data testing frameworks.
• Partner with data engineers & business intelligence developers to verify model accuracy, statistical outputs, & integration of analytical components.
• Support validation of AI/ML models by testing input/output integrity & ensuring model-driven results are aligned with business logic.

Skills & Experience:

• Proficiency in SQL writing complex queries, joins, & 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, & 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, & Business Intelligence/Extract, Transform, Load (BI/ETL) systems.
• Knowledge of Agile methodologies such as Scrum & Kanban
• Strong communication abilities with data engineers & data stakeholders relating to data system changes & 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. 

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