
Senior Data Engineering Specialist
6 hours ago
About the Role:
We are seeking a seasoned Test Engineer to join our team. The ideal candidate will possess extensive knowledge of ETL pipelines and data transformation techniques.
The successful candidate will be responsible for designing, developing, and executing comprehensive test cases to validate data flows, transformations, and system behaviors using Python scripting and Pytest framework.
Key Responsibilities:
Evaluation of Data Pipelines
- Design and develop manual and automated test cases for Azure Data Factory ETL pipelines using Python and Pytest.
- Validate data transformations, data mappings, and data integrity through SQL queries and data profiling.
- Automate functional, regression, and performance tests of ETL workflows to ensure pipeline reliability.
Collaboration with Cross-Functional Teams
- Collaborate with data engineers, analysts, and developers to understand ETL and POWER BI specifications and data flow requirements.
- Document test plans, test cases, defects, and provide timely feedback on issues.
Maintenance of Test Automation Frameworks
- Maintain test automation frameworks, leveraging Pytest fixtures and libraries such as to validate Azure data factory activities.
Required Skills and Qualifications:
Critical Skills
- Cloud: Microsoft Azure Data Factory
- CI/CD Platforms: Azure Devops, Github
- Testing Framework: Pytest
- Languages: Python, SQL
- Reporting: Power BI, Tableau
- Version Control: Git
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