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Data Quality Engineer

Remote in Colombia
Data Quality Engineering& 8 others
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We are looking for a detail-oriented and analytical Data Quality Engineer with strong expertise in data validation, SQL and modern testing practices.

The ideal candidate has hands-on experience in data quality and ETL testing, understands complex data structures and semantic layers, and is comfortable working with APIs and basic automation frameworks. Exposure to AI/LLM testing and modern data platforms such as BigQuery or Snowflake is highly valued.

Responsibilities
  • Design, execute and maintain test cases for data pipelines, ETL processes and data quality validation
  • Perform advanced SQL-based validation and analysis across large and complex datasets
  • Validate APIs and data integrations using tools such as Postman or similar platforms
  • Support testing activities for AI/LLM-powered solutions and data-driven applications
  • Develop and maintain basic test automation scripts using Python or Java
  • Validate data models, metadata consistency, semantic layer mappings and configuration files
  • Perform YAML and configuration validation to ensure system reliability and correctness
  • Collaborate closely with engineering, product and data teams to identify defects, analyze root causes and improve overall product quality
  • Contribute to continuous improvement of QA processes, automation practices and testing standards
  • Participate in release validation, regression testing and production issue investigation when needed
Requirements
  • 3+ years of experience in data quality and ETL testing
  • Expertise in advanced SQL and data validation techniques
  • Proficiency in API testing using Postman or similar tools
  • Skills in basic test automation using Python or Java
  • Capability to perform strong analytical and troubleshooting tasks
  • Competency in communication and collaboration
  • English proficiency at B2 level or higher
Nice to have
  • Understanding of data modeling concepts and metadata management
  • Familiarity with semantic layers and modern data architectures
  • Knowledge of AI/LLM testing and validation approaches, and YAML or configuration-driven systems
  • Expertise in BigQuery, Snowflake or similar cloud data platforms
  • Familiarity with Agile development environments