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 a people-first culture passionate about agility, flexibility, and diversity within the DataGen team

Job Summary

  • The company is a people-first culture passionate about agility, flexibility, and diversity within the DataGen team.
  • The role involves leading the design of test automation frameworks for full-stack web applications and data pipelines while mentoring QE team members.
  • S&P Global offers comprehensive benefits including health care coverage, generous time off, and financial wellness programs to support employee growth.

Matching Summary

The company is a people-first culture passionate about agility, flexibility, and diversity within the DataGen team.

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
  • React and .NET Core backend testing
  • CI/CD pipeline automation 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 services familiarity
  • Synthetic data generation interest

Key Requirements

  • Bachelor's degree in Computer Science or equivalent
  • 2+ years in lead or mentoring QE role
  • Strong English language communication skills

Work Rights

US Candidates Only

Tailored Resume

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