Automation QA Engineer I | FactSet | Hyderabad, Telangana, India

Position: Automation QA Engineer I

Location: Hyderabad, Telangana, India

About the job

The Content Industrialization – QA Department at FactSet is responsible for monitoring and testing the quality, consistency, and reliability of FactSet’s windows and web-based (cloud) applications. The department consists of different sub-teams to cover regression and functional testing responsibilities for various client-facing products and internal applications of FactSet.

Responsibilities:

• Design automated tests to validate applications by creating scripts that run testing functions automatically. This includes determining priority for test scenarios and creating execution plans to implement these scenarios.
• Analyze bug reports and highlight problems to help identify fixes for them
• Communicate technical challenges and roadblocks for automating test cases
• Participate in project meetings with Content Engineering, Manual Testing team, and Project lead to gather and understand business expectations
• Get familiar with a wide range of FactSet applications and acquire the client/end user’s perspective
• Participate in training and learn the processes and technologies used in-house
• Ensure project deadlines are met and promptly communicate to the Team lead potential delays and associated reasons

Required Skills:

• Any Engineering graduate with Minimum of 2 years experience in software testing with Automation tools such as UFT / Selenium / Protractor / Test Complete
• Should have strong experience in automating either desktop or web-based applications
• Should have strong knowledge in development/scripting skills in common languages like Java Script / Type-Script
• Hands-on experience in CICD pipeline (Ex: Jenkins, GitHub)
• Should have exposure to relational databases like SQL and PostgreSQL
• Should be open to learning new programming languages and adapting to changing business landscapes and workflows
• Keen to learn new technologies
• Good communication, analytical, and problem-solving skills
• Should have knowledge of automation tools, SDLC, STLC process, and QA concepts
• Familiar either with version control tools such as Git, SVN, and TortoiseSVN.

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