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Source.ai Paskelbta prieš 4 d.

Web Scraping Engineer – Python (Mid/Senior)

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Pagal skelbimo duomenis

Source.ai ieško darbuotojo į poziciją „Web Scraping Engineer – Python (Mid/Senior)“ (Senior lygis). Darbo vieta – Vilnius. Siūlomas atlyginimas – 4 500–7 000 €/mėn bruto. Skelbime minimos technologijos: AI, C++, CSS, DevOps, FastAPI, Machine Learning.

Atlyginimas

4 500 – 7 000 €/mėn.

Bruto/mėn. · +19 % nei Senior mediana

Lygis

Senior

5+ metai patirties. Atsakai už sprendimus, architektūrą ir kokybę, mentoriuoji ir matai verslo kontekstą.

Skaityti daugiau

Darbo būdas

Biure

Vilnius

Ką veiksi

  • Indrė Levišauskaitė
  • Talent Acquisition Partner

Pozicijos aprašymas

Santrauką ruošiame – kol kas originalus skelbimo tekstas.

AboutEcosystemNewsroomCareerOpen positionsBlogContactsSee open positionsSee open positionsSee open positionsSee open positionsAboutEcosystemNewsroomCareerOpen positionsBlogContactsSee open positionsSee open positionsSee open positionsSee open positionsBack to all positionsBack to all positionsBack to all positionsFull Time

Vilnius

Web Scraping Engineer - Python (Mid/Senior)Oxylabs is an enterprise-grade web data infrastructure, purpose-built for organizations operating at global scale. It helped define what public web data access could look like and still sets the standard others build against.

That same ambition runs through the culture: engineers take ownership of problems no one else has solved and push each other to raise the bar.

The team waiting for you

We run one of the most advanced and largest scraping and parsing products in the world. We serve thousands of requests per second with a very high success rate. Our scrapers and parsers are used by leading e-commerce, market intelligence, and AI industry players making the work challenging and truly global. The team is a blend of different interesting personalities from different walks of life and nationalities. Here you can find people who are experts in gaming, playing guitar, riding bicycles, and other areas. We, as a team, will support you in learning how to build your own scrapers and will share all the tips, tricks and hacks we know to ensure that you are onboard in no time.

Develop scalable scrapers.Define resilient scraping strategies, unblock websites for scrapingImprove observability in the system.Develop back-end solutions for scraping & parsing problems of various magnitudes.Maintain the current system and develop new features related to scraping & parsing.Your skills & experience:

Experience working with Python.Understanding of computer science, including data structures, algorithms, computability and complexity.Version Control skills using Git.Knowledge on how to unblock websites for scraping.Is able to use different scraping techniques & open-source tools to build scrapers.Is comfortable with using Dev Tools.Network (TLS/SSL) knowledge.Worked with browser automations.Knows their way around asynchronous programming.Nice to have:

Web development knowledge.Knows how to use CSS Selectors / XPaths for parsing.Experience working with Go & C++.Worked on browser source code.Knowledge of any front-end framework.Experience working with Pydantic, FastAPI, SQLAlchemy.Has experience working with Redis, MySQL, Docker, Kubernetes, Elasticsearch, Kibana and monitoring tools like Grafana, Prometheus.Experience with machine learning that is scraping domain-specific.Has experience in building scalable systems.Salary & Benefits:

Gross salary: 4500 - 7000 EUR/month. Keep in mind that we are open to discussing a different salary based on your skills and experience.Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing.Health & Well-being: Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.Celebration & Community: Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together.Plus bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need. See the full list of benefits here: https://source.ai/career/blog/benefitsOxylabs is part of Source, a data ecosystem for a world built on intelligence. One of a growing network of independent technology companies connected by shared standards, expertise, and a belief in responsible access to web data.

Interested?

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per 30 d.

Atlyginimo mediana
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IT mediana 3 750 € · +13 %

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Vilnius, Kaunas

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