QA Engineer - Remote

Posted 2 days agoViewed

💎 Seniority level: Middle, 3+ years

📍 Location: Rio de Janeiro, State of Rio de Janeiro, Brazil, Montevideo Department, Uruguay, Buenos Aires, Buenos Aires, Argentina, Lisbon, Lisbon, Portugal, Zagreb, Grad Zagreb, Croatia

🔍 Industry: Software Development

🏢 Company: Zyte👥 251-500💰 $3,000,000 Debt Financing over 3 years agoBig Data Cloud Computing SaaS PaaS Data Mining Software

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: AWSDockerPythonSoftware DevelopmentSQLAgileData AnalysisHTMLCSSQAQA AutomationREST APICommunication SkillsLinuxWritten communicationJSON

Requirements:

BS degree in Computer Science, Engineering or equivalent.
Demonstrable programming knowledge and experience, minimum of 3 years (please provide code samples in your application, via a link to GitHub or other publicly-accessible service).
Minimum 3 years in a Software Test, Software QA, or Software Development role, in Agile, fast-paced environment and projects.
Solid grasp of web technologies and protocols (HTML, XPath, JSON, HTTP, CSS etc.); experience in developing tests against HTTP/REST APIs.
Strong knowledge of software QA methodologies, tools, and processes.
Ability to formulate basic to intermediate SQL queries; comfortable with at least one RDBMS and its utilities
Excellent level of written and spoken English; confident communicator; able to communicate on both technical and non-technical levels with various stakeholders on all matters of QA

Responsibilities:

Understand customer web scraping and data requirements; translate these into test approaches that include exploratory manual/visual testing and any additional automated tests deemed appropriate.
Provide input to our existing test automation frameworks from points of view of test coverage, performance, etc.
Ensure that project requirements are testable; work with project managers and/or clients to clarify ambiguities before QA begins.
Take ownership of the end-to-end QA process in newly-started projects.
Work under minimal supervision and collaborate effectively with Head of QA, Project Managers, and Developers to realize your QA deliverables.
Draw conclusions about data quality by producing basic descriptive statistics, summaries, and visualisations.
Proactively suggest and take ownership of improvements to QA processes and methodologies by employing other technologies and tools, including but not limited to: browser add-ons, Excel add-ons, UI-based test automation tools etc.

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