Lead Qe- Python, Databricks

S&P Global

Not specified; not specified; competitive pyy + re...
6+ years software testing experience
Python and pytest automation skills
Databricks data pipeline testing
The role involves leading the design and implementation of test automation frameworks for full-stack web applications and data pipelines

Job Summary

  • The role involves leading the design and implementation of test automation frameworks for full-stack web applications and data pipelines.
  • Candidates will mentor team members and drive quality initiatives within a people-first, agile culture at S&P Global.
  • The position offers comprehensive benefits including health coverage, flexible downtime, and continuous learning resources.

Matching Summary

The role involves leading the design and implementation of test automation frameworks for full-stack web applications and data pipelines.

Salary

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

Skills & Requirements

Must-have

  • 6+ years software testing experience
  • Python and PyTest automation skills
  • Databricks data pipeline testing
  • React and .NET Core backend testing
  • CI/CD pipeline integration expertise
  • Performance testing with JMeter or k6

Nice-to-have

  • Experience with pandas library
  • Pyspark knowledge for Databricks
  • Playwright for web UI automation
  • GenAI or LLM model testing exposure
  • AWS cloud services familiarity
  • Synthetic data generation interest

Key Requirements

  • Bachelor's degree in Computer Science or equivalent
  • 2+ years in lead or mentoring QE roles
  • Strong English language proficiency

Work Rights

US Candidates Only

Tailored Resume

Cover Letter