Lead QE- Python, Databricks

We are looking for a Lead Quality Engineer to join our DataGen team. The role will involve leading the design, implementation, and continuous improvement of test automation frameworks for full-stack web applications and data pipelines.

Requirements

• 6+ years of hands-on experience in software testing and test automation for modern web applications and data platforms.
• 2+ years in a lead/mentoring QE or SDET role, driving quality initiatives and team delivery.
• Strong programming skills in Python and PyTest, with experience automating tests for.NET Core backends and React frontends.
• Experience testing REST APIs, microservices, and data pipelines (ETL/ELT), including validation of large datasets in SQL and NoSQL databases.
• Hands-on experience with Databricks, especially in testing.
• Solid understanding and experience of CI/CD practices (pipeline automation).
• Experience with performance testing tools (e.g., JMeter, k6, LoadRunner) and analysis of results.
• Strong knowledge of SQL (Postgres) and familiarity with NoSQL databases.
• Experience with automation frameworks (e.g., Selenium, Cypress, REST-assured, pytest, xUnit).
• Excellent communication, leadership, and problem-solving skills.
• Strong English language skills.

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.