Own the design, development, and modernization of the Python based data/ETL testing automation framework (PyETL), ensuring stability, performance, and feature readiness for global consumers
Reduce dependency on third‑party tools (e.g., Tosca DI) by expanding PyETL capabilities
Enhance framework architecture, improve reusability, and support evolving test automation needs across multiple business domains
Provide technical leadership, coaching, and governance for PyETL usage across globally distributed teams
Ensure high‑quality documentation, onboarding support, and enablement materials
Integrate PyETL capabilities into CI/CD pipelines; collaborate with DevOps teams to streamline and optimize automation workflows
Troubleshoot complex automation framework issues and lead root‑cause analysis
Partner with QE Leads, Quality Engineers, and DevOps Engineering to drive cross‑platform automation improvements
Evaluate emerging technologies, tools, and practices to continuously improve framework scalability and reliability

5+ years of progressive experience in Software Engineering or Quality Engineering
3+ years’ experience in Python, including building frameworks, libraries (Pandas, NumPy), and automation tooling
Solid understanding of ETL processes, data validation, and test automation patterns
Experience integrating automation frameworks with CI/CD systems (e.g., Jenkins, GitHub Actions, GitLab, or Azure DevOps)
Hands‑on experience with test automation tools and frameworks (e.g., Tosca, Selenium, ReadyAPI, Cucumber, or API automation tools)
Strong understanding of DevOps concepts, version control (Git/Bitbucket), and build/deploy automation
Excellent problem‑solving skills and ability to independently drive complex technical initiatives
Strong communication and collaboration skills with the ability to work across global teams

Automation SDET, Python Lead

Key skills