Senior QA Engineer - Data & Analytics Platform

Location

Lenexa, KS | United States

Job description

Newly created position! Join our innovative and expanding IT team as we add top talent who will help us achieve our significant growth goals and objectives in the upcoming years. Recognized as a best place to work in Kansas City for multiple years, we are building out our future IT platforms and capabilities to be poised to take full advantage of digital banking advancements, AI, machine learning, data analysis and modeling and more. We are committed to a sophisticated and forward-thinking approach to technology and to being a leader and driver of innovation in the financial services industry. 

As a key member of the data and analytics platform team, you will be responsible for the creation of well-structured and comprehensive test plans to identify issues with our data and analytics platforms both before and following scheduled releases. In a senior capacity, you will also be responsible for working with business and IT stakeholders to identify clear acceptance criteria, working with our engineering team to establish and refine quality engineering processes, and help to inform and develop automated testing against our data and analytics platforms at CACU. Specifically, the successful candidate will be a member of an Agile Test Team working with other Agile data engineers, data and business analysts, product owners and managers and offshore QA teams. The senior QA engineer will participate and advise in defining QA processes and procedures and also participate and advise in the assessment of QA tools and technologies.

Education and Experience Requirements:

• Bachelor’s Degree with 7 plus years of experience

Required Knowledge, Skills and Abilities:

• Experience developing automation tests using testing platforms/engines such as Selenium, Postman, HP UFT/QTP, IBM Rational, etc.– 5 years.
• Experience with SQL and data/ETL validation patterns
• Experience developing test scripts to implement Features, Test Scenarios and Step-Definitions in a customized test automation framework.
• Experience with ETL tools such as SSIS and Azure Data Factory
• Experience testing in Scrum and Kanban Agile development/test processes.
• Strong communication and collaborative skills in providing technical direction for automated testing processes and procedures.
• Other duties as assigned.

Preferred Knowledge, Skills and Abilities:

• Experience in cloud technologies with preference towards Microsoft Azure
• Experience working with data platforms and data engineering teams
• Experience implementing and executing automated regression suite tests
• Exposure to load testing and performance testing
• Experience with source code versioning and Pull Requests with Git and Stash.
• Experience with Azure DevOps or similar cloud dev ops platforms.
• Experience with environments utilizing Cloud/Virtualization Technologies such as Docker and container management solution like Kubernetes.
• Experience with CI/CD pipelines and integrations
• Experience in banking or financial institutions with a strong background on supporting business partners.

Job tags

Salary