Design, develop, maintain scalable web scraping solutions
Build data pipelines and automation for collection, cleaning, validation, transformation
Prepare scraped data into MDR-ready formats meeting quality and timelines
Monitor scraping jobs; handle anti-bot measures, CAPTCHAs, rate limits
Collaborate with teams to define data requirements and sources
Document data schemas and scraping processes

🎯 Requirements

8+ years of professional experience in web scraping, data extraction, or data engineering
Strong proficiency in Python with scraping libraries (Scrapy, BeautifulSoup, Selenium, Playwright, or similar)
Experience building and scheduling automated data pipelines (cron, Airflow, or equivalent)
Solid understanding of HTML, CSS, DOM, and browser dev tools
Familiarity with REST APIs, JSON, and data extraction from API endpoints
Experience with relational databases (PostgreSQL, MySQL) and SQL

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