Web Scraping Specialist

**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