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QA Data Engineer
Argentina · 100% Remote · Contractor
We are looking for a QA Data Engineer to join an international Data Engineering & Analytics project, ensuring the quality, accuracy, and reliability of data and pipelines.
Areas
- Data Pipeline Testing
- Data Quality
- ETL / ELT Testing
- Data Validation
- Test Automation
- AI Technologies
Responsibilities
- Design and execute tests for data pipelines.
- Validate data transformations and ETL/ELT processes.
- Implement data quality checks and validations.
- Automate data testing and regression processes.
- Identify, document, and track data inconsistencies and pipeline issues.
- Collaborate with Data Engineers, Data Architects, and Business Analysts to ensure requirements are properly covered.
- Contribute to Data Quality Assurance (DQA) processes.
Requirements
- Professional experience in QA within Data Engineering or Data projects.
- Experience testing data pipelines and ETL/ELT processes.
- Strong SQL skills.
- Knowledge of Data Quality and Data Validation.
- Experience with test automation.
- Experience or knowledge of AI technologies such as OpenAI and Anthropic.
- Completed university degree in Computer Science, Engineering, Information Systems, or a related field.
- Strong analytical skills and attention to detail.
- Excellent English communication skills.
Nice to Have
- Experience with GCP / BigQuery.
Work Details
- Location: Argentina
- Work mode: 100% Remote
- Contract: Contractor
- English: Excellent level required