Lead Quality Engineer- Python, SQL

Grade Level (for internal use): 11 Segment: S&P Global Energy The Team:   S&P Global Energy empowers organizations to create long-term, sustainable value by providing data and insights for a comprehensive view of the global energy and commodities markets.  The Impact As a Lead Quality Engineer , you will be responsible for driving quality across complex, data‑rich applications by designing robust test strategies, building automated testing frameworks, improving test coverage, and partnering closely with developers, product managers, and designers. You will contribute to quality engineering best practices and ensure the successful delivery of mission‑critical solutions. What’s in it for You Opportunity to work in a fast-paced agile environment handling large-scale, high-volume datasets, with exposure to modern technology stacks, data engineering processes, and cloud infrastructures, while influencing test automation strategy, QE tooling, and engineering excellence for the Horizons product suite, and owning quality for end‑to‑end features, platforms, and services.

Quality Engineering & Automation Design, develop, and maintain automated test frameworks and test suites (UI, API, data validation, performance). Build automation using Python as a primary scripting and test development language. Implement automated tests for REST/GraphQL APIs, microservices, and data pipelines. Ensure robust test coverage across functional, regression, integration, performance, and security testing. Data Quality & Validation Validate high‑volume datasets, transformations, ingestion pipelines, and data models. Create automated data quality checks, anomaly detection rules, and validation scripts. Work alongside data engineering teams to validate ETL workflows, schema changes, and downstream impacts. Collaboration & Agile Delivery Partner with developers, product managers, and designers to understand requirements and acceptance criteria. Participate in backlog refinement, design discussions, sprint planning, and daily stand‑ups. Contribute to documentation, QE best practices, process improvements, and quality metrics. Support release readiness and production validation activities. What We’re Looking For Basic Qualifications 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.) Experience validating microservices, distributed systems, and data workflows. 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.

Experience in performance testing (JMeter, Locust, k6). Experience with data platforms such as Snowflake, Databricks, or BigQuery. Familiarity with React/Node.js application testing (Playwright, Cypress). Exposure to Energy Transition or Energy Markets is a plus. Enthusiasm for Data Science, ML‑driven testing, or model validation is an added advantage. About S&P Global Energy At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration. S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with