Senior ETL QA Engineer

About Us

Zelis is modernizing the healthcare financial experience in the United States (U.S.) across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients.

Why We Do What We Do

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. 

Position Overview

Job Title: QA / ETL Tester

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.

Technical Skills

ETL Tools: Experience with ETL tools and frameworks, preferably with Azure Data Factory and DBT.

Cloud Platforms: Proficiency in using Snowflake for data warehousing.

API Testing: Experience with API testing tools such as Postman, SoapUI, or similar.

SQL and Scripting: Proficiency in SQL and scripting for data validation and test case data comparison.

Automation: Experience in test automation using tools like Selenium WebDriver, pytest, or similar.

Agile/Scrum: Understanding of Agile/Scrum development principles.

Data Integration: Knowledge of data integration techniques and best practices.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field.

5-8 years of experience in quality assurance, with a focus on ETL and data warehousing.

Strong proficiency in SQL and experience with data warehousing concepts.

Experience with cloud data platforms, preferably Snowflake.

Familiarity with ETL tools like Azure Data Factory and DBT.

Knowledge of software testing best practices, methodologies, and tools.

Excellent analytical and problem-solving skills, with the ability to troubleshoot complex issues and provide effective solutions.

Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.

Experience or familiarity with healthcare domain concepts and regulations is a plus.