Lead QE – Python, Databricks

Role Overview

• Lead the design, implementation, and continuous improvement of test automation frameworks for full-stack web applications (React, .NET Core, Postgres, NoSQL) and data pipelines (Databricks).
• Define and execute test strategies across UI, API, backend, and data layers, ensuring coverage of functional, integration, regression, and performance scenarios.
• Collaborate closely with developers and DevOps to embed quality in CI/CD pipelines and cloud deployments (AWS).
• Mentor and guide QE team members, fostering best practices in test automation, exploratory testing, and quality metrics analysis.
• Participate in architectural and design discussions, influencing solutions for testability, reliability, and scalability.
• Drive adoption of shift-left testing, and test data management practices.
• Design and lead performance and load testing for APIs, web applications, and data processing workloads.
• Analyze test results, defects, and quality KPIs to provide actionable insights and continuous improvement recommendations.
• Act as a quality champion within the DataGen team, communicating effectively with technical and non-technical stakeholders.
• Support migration and integration testing for legacy to AWS cloud transitions.

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.
• Additional Preferred Qualifications: Experience with pandas library.
• Experience with dabricks-connect library.
• Experience with pyspark (for Databricks).
• Proven experience with Playwright for web UI test automation.
• Exposure to GenAI or LLM models testing.
• Experience with test data management and synthetic data generation.
• Interest in Data Science/Machine Learning and testing data-driven solutions.
• Experience with AWS services (S3, ECS, Lambda, etc.), Docker, and containerized testing.
• Experience with monitoring, profiling, and debugging tools.
• Bachelor’s or higher qualification in Computer Science, Information Systems, or equivalent.

Tech Stack

• AWS
• Cloud
• Cypress
• Docker
• ETL
• JMeter
• Microservices
• NoSQL
• Pandas
• Postgres
• PySpark
• Python
• React
• Selenium
• SQL
• .NET

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.