Lead Quality Engineer- Python, Databricks

As a Lead Quality Engineer, you will drive quality across complex, data-rich applications by designing robust test strategies, building automated testing frameworks, and partnering closely with developers, product managers, and designers.

Requirements

• Bachelor's or master's degree in computer science, Information Systems, Engineering, or equivalent.
• 8+ years of hands-on Quality Engineering experience, including test automation frameworks and tooling.
• Strong expertise in: Python coding and scripting, API testing (REST/GraphQL), Test automation tools (PyTest, Robot, Playwright/Selenium, Postman, etc.), SQL & NoSQL databases, Cloud environments (AWS, Azure, or GCP), CI/CD pipelines (Git, GitHub Actions, Azure DevOps, Jenkins, etc.).
• Strong understanding of SDLC, Agile methodology, and test-driven development principles.
• Ability to collaborate effectively with cross-functional teams and contribute to architectural and design discussions from a quality perspective.

Benefits

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.