Data Test Engineer at VARTEQ Inc. | Torre
Data Test Engineer
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VARTEQ Inc.

Data Test Engineer

VARTEQ Inc.
Posted by
Oksana Doroshenko
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Full-time

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Remote (for Brazil residents)
Remote (for Argentina residents)
Remote (for Mexico residents)
Remote (for Uruguay residents)
Posted 7 months ago

Responsibilities

About the role: - We are looking for a QA Engineer with hands-on experience in data and AI pipeline testing. - This is not a traditional QA role. - You will be working at the intersection of data engineering and quality assurance, validating ETL/ELT pipelines, testing data transformations, and ensuring the reliability of ML model outputs. Responsibilities: - Design and implement automated tests for data pipelines (ETL/ELT), transformations, and data quality checks. - Validate data integrity, completeness, and consistency across sources and destinations. - Test AI/ML pipeline outputs: model predictions, feature engineering logic, data drift. - Write and maintain dbt tests, Great Expectations rules, or similar data validation frameworks. - Build and maintain test datasets and test environments. - Collaborate with data engineers to identify edge cases and failure points early. - Document test plans, test cases, and quality metrics. - Participate in incident analysis and root cause investigations for data issues. Requirements: - 2+ years in QA, with at least 1 year focused on data or AI pipeline testing. - Python skills for test automation (pytest, custom scripts). - Solid SQL: ability to write queries to validate data across sources. - Hands-on experience with data quality frameworks: Great Expectations, dbt tests, Soda, or similar. - Understanding of ETL/ELT concepts and pipeline architecture. - Familiarity with workflow orchestration tools (Airflow or similar). - Upper-intermediate English (B2+).
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