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Data Quality Assurance Specialist
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About the Role:
We are seeking a highly skilled ETL And Power BI Tester to join our team. As an integral part of our data engineering process, this role will be responsible for ensuring the accuracy and performance of ETL Pipelines deployed into Azure cloud environments.
The ideal candidate will have expertise in Python, Pytest, and Azure Data Factory, with a proven track record of developing and automating comprehensive test cases to validate data flows, transformations, and system behaviors.
This is an excellent opportunity for a motivated individual to make a meaningful contribution to our organization's success and grow their career in a dynamic and supportive environment.
Key Responsibilities:
- 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.
- 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.
- Maintain test automation frameworks, leveraging Pytest fixtures and libraries to validate Azure data factory activities.
Required Skills and Qualifications:
- Cloud: Microsoft Azure Data Factory
- CI/CD Platforms: Azure Devops, Github
- Testing Framework: Pytest
- Languages: Python, SQL
- Reporting: Power BI, Tableau
- Version Control: Git
What We Offer:
Our organization provides a dynamic and supportive work environment, opportunities for growth and development, and a competitive compensation package.
Contact Information:
Please submit your application, including your resume and cover letter, to apply for this exciting opportunity.
