Data QA Engineer

🔥 42 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔧 QA Engineer (Quality Assurance)

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Zyte

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

💼 Consulting

📦 Logistics

📣 Marketing

💰 $3M Debt Financing on 2021-12

Consulting • Logistics • Marketing

Zyte is a company specialized in providing web data extraction solutions that are now powered by AI. They offer a range of products including the Zyte API, which handles ban management, AI scraping, and proxy solutions for seamless web data collection. Additionally, Zyte provides scalable cloud hosting for Scrapy spiders, enabling efficient management and automation of web scraping tasks. Zyte caters to a diverse set of industries, providing data for e-commerce, news, AI, job postings, real estate, and more, while emphasizing legal compliance in their operations. With a focus on streamlined and cost-effective data extraction services, Zyte supports businesses in accelerating their data projects and enhancing data-driven decision-making.

📋 Description

• Turn customer scraping and data requirements into a clear test approach and own QA from the start on new projects. • Combine exploratory manual and visual testing with automated tests where automation pays for itself. • Run test cycles on extracted data and report the results clearly. • Write up defects with enough detail that a developer can reproduce and fix them without a conversation. • Use descriptive statistics, summaries and charts to show how good the data is: completeness, accuracy, consistency and drift. • Produce test reports and quality scores that give the team, and the customer where needed, a true picture. • Say what was tested, what was not, and what risk that leaves. • Work with project managers and clients to clear up unclear or untestable requirements before QA begins. • Feed into the test automation framework, with a focus on coverage and performance. • Suggest and take ownership of improvements to QA process and tooling, including browser add-ons, spreadsheet add-ons and UI-based test automation tools. • Work with QA leadership, project managers and developers, with minimal supervision.

🎯 Requirements

• 5+ years in a QA Engineer or similar role - testing software or data. • Python preferred language - Pandas and Jupyter for data analysis and validation. • SQL: basic to intermediate queries, and comfort with at least one relational database and its tools. • A solid grasp of web technologies and protocols: HTML, XPath, JSON, HTTP and CSS. • Experience writing tests against HTTP/REST APIs. • Good test case design and test data management. • Experience working in an agile team (Scrum or Kanban) alongside developers. • An understanding of data quality concepts such as completeness, accuracy, consistency and drift. • Strong attention to detail, and the confidence to hold the quality line under delivery pressure. • Clear written and spoken communication in English. • Working knowledge of Scrapy and other Python-based scraping frameworks. • Experience with test automation frameworks. • Interest in data science concepts as they apply to data analysis and validation. • Interest in using AI and LLM tools to speed up data validation.

🏖️ 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. • Work with cutting-edge open source technologies and tools. • 35 days paid holidays