Responsibilities
- Design and execute test plans for data pipelines, transformations, and integrations within Azure.
- Validate data accuracy, completeness, and consistency across source and target systems.
- Test data flows in Azure Data Factory, Synapse Analytics, and Azure SQL.
- Monitor and validate performance, scalability, and reliability of cloud-based data solutions.
Automation & CI/CD Integration
- Develop automated test scripts using Python, SQL, and Azure DevOps.
- Integrate QA processes into CI/CD pipelines for continuous validation.
- Identify and document data issues, working closely with data engineers and developers to resolve them.
- Maintain a defect log and contribute to root‑cause analysis.
- Partner with data analysts, data architects, and stakeholders to understand requirements and ensure test coverage.
- Document test cases, results, and QA metrics for reporting and compliance.
Required Qualifications
- 2-6 years of experience in data QA or testing roles in a data and analytics space.
- Strong SQL skills and experience with data validation techniques.
- Hands‑on experience with Azure services: Data Factory, Synapse, Azure SQL, Blob Storage.
- Familiarity with data modeling, ETL processes, and data governance principles.
- Experience with test automation tools and scripting (e.g., Python, PyTest, dbt tests).
Preferred Skills
- Experience in enterprise reporting environments (e.g., Power BI).
- Knowledge of Agile methodologies and DevOps practices.
- Exposure to finance or operational data domains.
Seniority Level
Entry level
Employment Type
Full‑time
Job Function
Engineering, Information Technology, and Consulting
Industries
Engineering Services, Information Services, and Technology, Information and Media