Lead Quality Engineer- Python, Databricks

S&P Global Energy

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Python for test development
Api testing (rest/graphql)
Automated test frameworks
** S&P Global Energy is seeking a Lead Quality Engineer with expertise in Python and test automation to drive quality in complex, data-rich applications. The role involves designing automated testing frameworks, validating high-volume datasets, and collaborating with cross-functional teams to ensure successful delivery of quality solutions. **

Job Summary

  • Drive quality across complex, data-rich applications by designing robust test strategies, building automated testing frameworks, and improving test coverage.
  • Opportunity to work in a fast-paced agile environment handling large-scale, high-volume datasets, influencing test automation strategy and owning quality for end-to-end features.
  • Validate high-volume datasets, transformations, ingestion pipelines, and data models, creating automated data quality checks and validation scripts.

Matching Summary

Match Score: 75

** S&P Global Energy is seeking a Lead Quality Engineer with expertise in Python and test automation to drive quality in complex, data-rich applications. The role involves designing automated testing frameworks, validating high-volume datasets, and collaborating with cross-functional teams to ensure successful delivery of quality solutions. **

Skills & Requirements

Must-have

  • Python for test development
  • API testing (REST/GraphQL)
  • Automated test frameworks
  • Data validation and quality checks
  • CI/CD pipelines

Nice-to-have

  • Performance testing experience
  • Databricks experience
  • Energy markets exposure

Key Requirements

  • 8+ years Quality Engineering experience
  • Bachelor's or master's degree
  • Experience with cloud environments (AWS, Azure, or GCP)
  • Experience validating microservices and data workflows

Work Rights

Not specified

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