Lead Quality Engineer- Python, Databricks

S&P Global Energy

Not specified
Python test automation
Api testing (rest/graphql)
Databricks data validation
S&P Global Energy is seeking a Lead Quality Engineer with strong expertise in Python and automated testing to drive quality across complex, data-rich applications. The role involves designing test strategies, building automated frameworks, and collaborating with cross-functional teams to ensure robust quality engineering practices

Job Summary

  • You will contribute to quality engineering best practices and ensure the successful delivery of mission‑critical solutions.
  • Build automation using Python as a primary scripting and test development language.
  • Our benefits include Health & Wellness, Flexible Downtime, Continuous Learning, and Invest in Your Future.

Matching Summary

Match Score: 85

S&P Global Energy is seeking a Lead Quality Engineer with strong expertise in Python and automated testing to drive quality across complex, data-rich applications. The role involves designing test strategies, building automated frameworks, and collaborating with cross-functional teams to ensure robust quality engineering practices.

Skills & Requirements

Must-have

  • Python test automation
  • API testing (REST/GraphQL)
  • Databricks data validation
  • CI/CD pipelines
  • SQL & NoSQL databases
  • Cloud environments (AWS, Azure, GCP)

Nice-to-have

  • Performance testing experience
  • Data platforms (Snowflake, BigQuery)
  • React/Node.js testing
  • Energy Transition markets
  • ML-driven testing

Key Requirements

  • 8+ years Quality Engineering experience
  • Bachelor's or master's degree
  • Experience validating microservices
  • Strong understanding of SDLC, Agile

Work Rights

Not specified

Tailored Resume

Cover Letter