Zelis – Senior ETL QA Engineer
Job Description
In the U.S., consumers, payers, and providers face significant challenges throughout the healthcare financial journey. Zelis helps streamline the process by offering solutions that improve transparency, efficiency, and communication among all parties involved. By addressing the obstacles that patients face in accessing care, navigating the intricacies of insurance claims, and the logistical challenges healthcare providers encounter with processing payments, Zelis aims to create a more seamless and effective healthcare financial system.
Zelis India plays a crucial role in this mission by supporting various initiatives that enhance the healthcare financial experience. The local team contributes to the development and implementation of innovative solutions, ensuring that technology and processes are optimized for efficiency and effectiveness. Beyond operational expertise, Zelis India cultivates a collaborative work culture, leadership development, and global exposure, creating a dynamic environment for professional growth. With hybrid work flexibility, comprehensive healthcare benefits, financial wellness programs, and cultural celebrations, we foster a holistic workplace experience. Additionally, the team plays a vital role in maintaining high standards of service delivery and contributes to Zelis’ award-winning culture.
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Responsibilities
ETL Testing: Develop and implement comprehensive test plans and strategies for ETL processes, ensuring data accuracy, consistency, and completeness in the data warehouse.
Data Validation: Validate data at various stages of the ETL process, including data extraction, transformation, and loading, to ensure the integrity of the data warehouse.
Test Automation: Design, develop, and maintain automated test scripts and frameworks to streamline testing processes and enhance efficiency.
Regression Testing: Conduct thorough regression testing to identify and mitigate any potential issues or bugs introduced during the development process.
Performance Testing: Perform performance testing to assess the responsiveness, scalability, and stability of ETL processes and data pipelines, collaborating with the development team to optimize performance.
Collaboration: Work closely with data engineers, data analysts, and other stakeholders to understand project requirements, identify potential risks, and provide QA insights throughout the development lifecycle.
Documentation: Create detailed test cases, test reports, and documentation to facilitate effective communication and knowledge sharing within the team.
Data Warehouse Concepts: Apply knowledge of dimensional modeling and data warehouse concepts, such as star schemas, snowflakes, dimensions, and facts, in the testing process.
Sign-offs: Ensure all sign-offs on deliverables (overall test strategy, test plan, test cases) and that testing meets governance requirements.
Quality Assurance: Ensure the quality of work and the work of the entire development team.
Data Analysis: Write and execute queries to validate data and troubleshoot erroneous results, logging defects, and working with the development team to resolve software-related defects.
