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QA Automation Engineer at Fetcherr
Warsaw, Masovian Voivodeship, Poland -
Full Time

Start Date

Immediate

Expiry Date

31 Jan, 26

Salary

0.0

Posted On

02 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Automation Testing, Data Validation, Pandas, NumPy, Analytical Skills, Problem-Solving, Communication Skills, Team Collaboration, Attention to Detail, Data Accuracy, Quality Assurance, SQL, Automation Frameworks

Industry

Software Development

Description
Description QA Automation Engineer Fetcherr experts in deep learning, algo-trading, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions. We are seeking a highly skilled QA Automation Engineer with a strong background in Python coding. If you are passionate about working with data, automation tests, and have experience with libraries like Pandas or NumPy, we want to hear from you! Key Responsibilities: Develop and maintain Python automation test scripts for data validation. Collaborate with cross-functional teams to understand their requirements and deliver automated tests solutions. Requirements Must Have: Bachelor’s degree in Computer Science, Math, or a related field. 2 years of hands-on experience in Python and Pytest, with experience in libraries such as Pandas, NumPy, or similar. Strong analytical and problem-solving skills. Experience in developing automation test scripts. Excellent communication skills and the ability to work collaboratively in a team environment. Attention to detail and a commitment to data accuracy and quality. English – fluent, both written and spoken. Nice to have: Experience in using SQL (BigQuery / GCP experience is a plus). Experience in other automation frameworks and tools.
Responsibilities
Develop and maintain Python automation test scripts for data validation. Collaborate with cross-functional teams to understand their requirements and deliver automated test solutions.