S&P Global Energy is seeking a Lead Quality Engineer skilled in Python and Databricks to enhance quality across data-rich applications. The ideal candidate will have extensive experience in test automation, data validation, and collaboration within agile environments
Job Summary
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.
Build automation using Python as a primary scripting and test development language and implement automated tests for REST/GraphQL APIs, microservices, and data pipelines.
Validate high‑volume datasets, transformations, ingestion pipelines, and data models, and create automated data quality checks, anomaly detection rules, and validation scripts.
Matching Summary
Match Score: 85
S&P Global Energy is seeking a Lead Quality Engineer skilled in Python and Databricks to enhance quality across data-rich applications. The ideal candidate will have extensive experience in test automation, data validation, and collaboration within agile environments.