Job Overview: We're looking for a Web Scraping Engineer to join our team and help us extract, process, and analyze large-scale data from the web.
You'll be responsible for developing efficient, scalable, and resilient scraping solutions to gather structured and unstructured data from diverse online sources.
If you thrive on solving complex problems, working with automation, and building data pipelines, this role is for you!
Key Responsibilities: Design, build, and maintain web scraping scripts, bots, and crawlers to collect data from websites, APIs, and other online sources.
Ensure scrapers are efficient, scalable, and resilient to website structure changes and anti-bot mechanisms.
Develop data parsing, cleaning, and structuring workflows for downstream applications.
Optimize scraping performance, handling concurrency, rate-limiting, and distributed architectures.
Work with stakeholders to understand data needs and translate them into automated scraping solutions.
Monitor, troubleshoot, and maintain scrapers to ensure data accuracy and integrity.
Implement best practices for ethical web scraping and comply with legal requirements (e.g., robots.txt, data privacy regulations).
Required Skills & Qualifications: Programming: Proficiency in Python and libraries like Scrapy, BeautifulSoup, Selenium, or Playwright.
Web Technologies: Strong understanding of HTML, CSS, JavaScript, and browser behavior.
Networking & HTTP: Familiarity with REST APIs, proxies, headers, and cookies.
Data Processing: Experience with pandas, regex, JSON, XML, and database integration (SQL/NoSQL).
Automation & Scaling: Knowledge of asynchronous programming, multiprocessing, and distributed computing frameworks (e.g., Celery, Kafka).
Security & Compliance: Awareness of anti-scraping mechanisms (CAPTCHAs, bot detection) and ethical scraping guidelines.
Why Join Us?
Work on cutting-edge data extraction and automation projects.
Flexible work environment with remote opportunities.
Competitive salary, benefits, and career growth opportunities.
Join a passionate, innovative team that values data-driven decision-making.
IF ANYONE IS INTERESTED, PLEASE SEND YOUR DESIRED CV AND PORTFOLIO TO ******.
CANDIDATES WHO DID NOT SUBMIT THIS, WILL NOT BE CONSIDERED