Lead Qe- Python, Databricks

S&P Global

Not specified; not specified; competitive pyy + re...
6+ years software testing experience
Python and pytest programming skills
Databricks data pipeline testing
The company is committed to advancing essential intelligence and empowering customers to make a difference in the world through data-driven solutions

Job Summary

  • The company is committed to advancing essential intelligence and empowering customers to make a difference in the world through data-driven solutions.
  • As a Lead QE, you will drive the design of test automation frameworks for full-stack web applications and complex data pipelines within an agile team culture.
  • S&P Global offers comprehensive benefits including health coverage, flexible downtime, continuous learning resources, and financial wellness programs to support employee growth.

Matching Summary

The company is committed to advancing essential intelligence and empowering customers to make a difference in the world through data-driven solutions.

Salary

Not specified; Not specified; Competitive pay and retirement planning included

Skills & Requirements

Must-have

  • 6+ years software testing experience
  • Python and PyTest programming skills
  • Databricks data pipeline testing
  • CI/CD pipeline automation expertise
  • Performance testing with JMeter or k6
  • Postgres and NoSQL database knowledge
  • React and .NET Core application testing

Nice-to-have

  • Experience with pandas library
  • Pyspark and dabricks-connect usage
  • Playwright for web UI automation
  • GenAI or LLM model testing exposure
  • AWS services and Docker containerization
  • Synthetic data generation practices
  • Machine Learning and Data Science interest

Key Requirements

  • Bachelor's degree in Computer Science or equivalent
  • 2+ years in lead or mentoring QE roles
  • Strong English language communication skills
  • Proven track record in test strategy execution

Work Rights

US Candidates Only

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