4 days ago
Remote, Saudi ArabiaSenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver complete, accurate structured datasets.
- Use custom workflows and available tools to collect, validate, and process data efficiently.
- Extract data from dynamic and interactive sources, including JavaScript-rendered pages, while adapting to changing site behavior.
- Apply validation, cross-source consistency checks, formatting controls, and systematic verification to maintain data quality.
- Scale scraping operations through batching or parallelization, monitor failures, and maintain stability against minor site changes.
Requirements
- At least 5 years of relevant experience in data engineering, web scraping, automation, or software development.
- Strong Python web-scraping experience with BeautifulSoup, Selenium or similar tools, dynamic content, and APIs via proxies.
- Ability to extract data from complex structures such as hierarchies, archived pages, and inconsistent HTML.
- Experience with data cleaning, normalization, validation, and delivery in CSV, JSON, or Google Sheets formats.
- Experience handling anti-bot mechanisms and dynamic site structures at scale.
- Experience with AWS or equivalent cloud infrastructure and Docker in real workflows.
- Hands-on experience with LLM frameworks such as LangChain or OpenRouter for automation tasks.
- Upper-intermediate English proficiency at B2 level or above.
- A bachelor's or master's degree in engineering, applied mathematics, computer science, or a related technical field is a plus; a GitHub link is also a plus.
- Strong attention to detail, data accuracy, independent troubleshooting ability, and a self-directed work style.
Benefits
- Remote freelance engagement with an estimated workload of 10–20 hours per week during active project phases.
- Part-time project work with workload dependent on project requirements and not guaranteed.
Tech Stack
Categories
Data Engineering
