**What you will do**
- **Web Scraping & Data Extraction**: design, develop, and optimize web scraping strategies for large-scale data extraction from dynamic websites; identify and assess relevant data sources, ensuring alignment with business objectives; implement automated web scraping solutions using Python and libraries like Scrapy, BeautifulSoup, and Selenium; build resilient and adaptable scrapers that can handle website structure changes, rate limits, and anti-scraping measures;
- **Data Processing & Integration**: cleanse, validate, and transform extracted data to ensure accuracy, consistency, and usability; store and manage large volumes of scraped data using best-in-class storage solutions; develop ETL pipelines to integrate scraped data into data warehouses and analytics platforms; collaborate with cross-functional teams, including data scientists and engineers, to make scraped data actionable.
- **Web Scraping & Optimization**: optimize scraping procedures to improve efficiency, reliability, and scalability across multiple data sources; implement solutions for bypassing CAPTCHAs, rotating user agents, and managing proxy services; continuously monitor, troubleshoot, and maintain scraping scripts to minimize disruptions due to site changes.
- **Compliance & Documentatio**:stay up to date with legal, ethical, and compliance considerations related to web scraping and data collection; ensure data collection processes align with best practices and regulatory requirements; maintain clear and detailed documentation of scraping methodologies, data pipelines, and best practices.
**Must haves**
- **5+ years** of hands-on experience in web scraping, data extraction, and integration;
- Strong proficiency in **Python** and web scraping frameworks (**Scrapy**, **BeautifulSoup**, **Selenium**);
- Expertise in handling dynamic content, browser fingerprinting, and bypassing anti-bot mechanisms (e.g., CAPTCHAs, rate limits, proxy rotation);




- Deep understanding of **HTML**, **CSS**, **XPath**, and **JavaScript-rendered content**;
- Experience working with **large-scale data storage** solutions and optimizing retrieval performance;
- Strong grasp of **ETL** **processes**, **data pipelines**, and **data warehousing**;
- Familiarity with **APIs** for data extraction and integration from public and restricted sources;
- Strong problem-solving skills with an ability to debug and adapt to changing web structures;
- Solid understanding of **web scraping ethics**, **legal implications**, and **compliance guidelines**;
- Upper-Intermediate English level.
**Nice to Haves**
- **Bachelor’s degree** in Computer Science, Data Science, Information Technology, or a related field;
- Experience with **cloud-based distributed scraping systems (AWS, GCP, Azure)**;
- Knowledge of **big data frameworks** and experience handling high-volume datasets within **Snowflake**;
- Familiarity with **machine learning techniques** for data extraction and natural language processing (NLP);
- Experience working with **JSON**, **XML**, **CSV**, and other **structured data formats**;
- Proficiency with **version control systems** (**Git**).
**The benefits of joining us**
- **Professional growth**:Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- **Competitive compensation**:We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- **A selection of exciting projects**:Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- **Flextime**:Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office, whatever makes you the happiest and most productive.
**Next Steps After You Apply**
Work Location: Remote

📌 Web Scraping Specialist (Senior) Id30242 (México)
🏢 Agileengine
📍 México