Web Scraping Engineer solving complex challenges in data scraping for leading businesses. Collaborating within a skilled team to maintain advanced scraping infrastructure in hybrid work environment.
Responsibilities
Develop scalable scrapers.
Define resilient scraping strategies, unblock websites for scraping Improve 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.
Requirements
2 years of experience working with Python.
Understanding of computer science, including data structures, algorithms, computability and complexity.
Version Control skills using Git.
Knowing your way around asynchronous programming would help you a lot.
Practical knowledge of any code testing tool.
Nice to have:
Knows how to use Dev tools & Network tab;
Knows how to write an XPath;
Web development knowledge - HTML/JS/CSS;
Knowledge of any front-end framework;
Experience working with Pydantic, FastAPI, SQLAlchemy, BeautifulSoup, lxml, httpx, Playwright;
Knows how to use an API;
Has experience working with MySQL, Redis, Docker, Kubernetes, Elasticsearch, Kibana and monitoring tools like Grafana, Prometheus;
Has experience in building scalable systems.
Benefits
To support your professional growth and make you feel taken care of, we’ve put together an expansive benefit package. It covers learning, well-being, celebration, and much more — learn all about it here.
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