Important Information
- Location: Bolivia
- Work Mode: Hybrid
Responsibilities and Duties
- Design, develop, and maintain end-to-end dbt testing strategies, validating data transformations from bronze to gold layers using mocked and expected datasets
- Collaborate with business stakeholders, Data Engineers, and Analytics Engineers to define testing scope, ensure requirement traceability, and guarantee data quality standards
- Build, maintain, and optimize dbt models, unit tests, integration tests, and custom data validation frameworks within modern data platforms
- Investigate failed test cases, review pull requests, contribute to Agile ceremonies, and continuously identify opportunities to improve technical processes, quality standards, and team effectiveness
Qualifications and Skills
- 7+ years of experience in Quality Engineering, with strong focus on data platforms and automation
- Strong understanding of data warehousing concepts, ETL processes, and BI environments
- Advanced proficiency in SQL and scripting languages such as Python for automation and validation
- Hands-on experience with data validation techniques, data quality frameworks, and testing methodologies for data pipelines
- Solid understanding of testing strategies, including the Test Pyramid and automated testing best practices
- Experience working with version control systems (Git) and modern development workflows
- Experience with dbt, Databricks, Docker, pytest, and development tools such as VSCode
- Strong analytical skills with the ability to translate engineering and analytics requirements into comprehensive testing strategies
- Proven track record of driving continuous technical, process, and team improvements
- Nice to have: knowledge of data pipelines, Power BI, Tableau, cloud environments, automation testing frameworks, and data governance/compliance standards
