Lead Quality Engineer- Python, Databricks

S&P Global Energy

Python coding and scripting
Api testing (rest/graphql)
Automated test frameworks
Drive quality across complex, data-rich applications by designing robust test strategies, building automated testing frameworks, improving test coverage, and partnering closely with developers, product managers, and designers

Job Summary

  • Drive quality across complex, data-rich applications by designing robust test strategies, building automated testing frameworks, improving test coverage, and partnering closely with developers, product managers, and designers.
  • Design, develop, and maintain automated test frameworks and test suites (UI, API, data validation, performance) using Python as a primary scripting and test development language.
  • Validate high-volume datasets, transformations, ingestion pipelines, and data models, and create automated data quality checks, anomaly detection rules, and validation scripts.

Matching Summary

Drive quality across complex, data-rich applications by designing robust test strategies, building automated testing frameworks, improving test coverage, and partnering closely with developers, product managers, and designers.

Skills & Requirements

Must-have

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

Nice-to-have

  • Experience with Databricks
  • Performance testing experience
  • Familiarity with React/Node.js
  • Enthusiasm for Data Science

Key Requirements

  • 8+ years of Quality Engineering experience
  • Bachelor's or master's degree in CS, IS, Engineering, or equivalent
  • Experience validating microservices and data workflows
  • Strong understanding of SDLC and Agile methodology

Work Rights

Not specified

Tailored Resume

Cover Letter