Python Automation Tester

Role & responsibilities

About the RoleAs a Python Quality Engineer, you will be involved in Python-based automation initiatives including AI/ML model testing and framework development. More specifically, you will work on:

• Designing Frameworks, developing Proof of concepts and accelerators, and executing effectively/independently.
• Designing and implementing automation for Data, Web, and Mobile applications.
• Taking part in Demos, Planning, etc., with the rest of the team.
• Collaborating with business consultants, data scientists, engineers, and application developers

Internal Skills And Expertise

• Must have Strong knowledge and experience in Python Programming Language
• Basic knowledge of AI/ML and Data science models and related libraries (scikit-learn, matplotlib, etc.)
• Ability to independently design, develop, and architect highly available, highly scalable accelerators and frameworks from scratch
• Hands-on experience with Pytest, Selenium, Pyspark, Numpy, Pandas
• Must have SQL and database Knowledge.
• Strong knowledge of CI/CD pipeline (Azure/Jenkins).
• Good knowledge of RESTful interfaces / Microservice concepts
• Strong Experience in building frameworks using Appium, Selenium, Pytest, Requests, and or related Libraries.
• Strong knowledge of Web Scraping using Python-based tools such as Scrapy, and BeautifulSoup
• Good knowledge of Dockers and Kubernetes is good to have
• Good knowledge of cloud platforms AWS/Azure/GCP
• Ability to quickly learn and apply complex technical information to testing situations.
• Attention to detail and ability to effectively escalate issues and manage escalations.
• Experience with Agile methodology
• Excellent written and communication skills

Preferred candidate profile