QA Engineer

Summary

Join Zyte's QA team as a QA Engineer and contribute to ensuring the high quality of data scraped by our web scrapers. You will utilize automated, semi-automated, and manual testing approaches to validate data quality, working with various technologies and tools. The role requires strong programming skills (minimum 3 years experience), experience in software testing within an Agile environment, and a solid understanding of web technologies and protocols. You will collaborate with project managers, developers, and clients to clarify requirements and ensure testability. The position offers the flexibility to work remotely and the opportunity to attend conferences and collaborate with a global team.

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

Preferred Qualifications

• Knowledge and experience of Scrapy and other Python-based scraping frameworks a distinct advantage
• Prior experience in a Data QA role (where the focus was on verifying data quality, rather than testing application functionality)
• Interest in and flair for Data Science concepts as they pertain to data analysis and data validation (machine learning, inferential statistics etc.); if you have ideas, mention them in your application
• Knowledge of JavaScript
• Knowledge of and experience in other technologies that support a modern cloud-based software service (Linux, AWS, Docker, Spark, Kafka etc.)

Benefits

• Become part of a self-motivated, progressive, multi-cultural team
• Have the freedom and flexibility to work from where you do your best work
• Attend conferences and meet with team members from across the globe
• Work with cutting-edge open source technologies and tools