4 days ago
Remote, Australia or Sydney, AustraliaSenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver accurate structured datasets.
- Use custom workflows and tools to accelerate data collection, validation, and task execution.
- Extract data from dynamic and interactive web sources, including JavaScript-rendered content and changing site structures.
- 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 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 tools such as BeautifulSoup and Selenium, including dynamic content, AJAX, infinite scroll, 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 structured outputs including CSV, JSON, and Google Sheets.
- Experience handling anti-bot mechanisms and dynamic site structures at scale.
- Experience with AWS or equivalent cloud infrastructure and Docker containerization.
- Hands-on experience with LLM frameworks such as LangChain or OpenRouter for automation tasks.
- English proficiency at Upper-intermediate (B2) level or above is required; a GitHub link and a relevant technical degree are a plus.
Benefits
- Remote freelance work with an estimated 10–20 hours per week during active project phases.
- Part-time project engagement with workload dependent on project activity and requirements.
Tech Stack
Categories
Data Engineering
