Senior Web Scraping Specialist

Summary

Join RYZ as a Senior Web Scraping Specialist and become a key member of our data engineering team! This remote position, open to candidates in Argentina or Uruguay only, requires designing, building, and maintaining scalable data extraction solutions from various online sources. You will collaborate with data scientists and engineers, ensuring seamless data integration. Extensive experience with Python, data warehousing, and data integration tools is essential. The role demands expertise in handling large-scale data extraction, prioritizing performance and compliance. You will be responsible for optimizing scraping procedures and staying updated on legal and ethical considerations. This is a challenging and rewarding opportunity for a highly skilled professional.

Requirements

• 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

Responsibilities

• 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
• 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
• Stay up to date with legal, ethical, and compliance considerations related to web scraping and data collection
• Maintain clear and detailed documentation of scraping methodologies, data pipelines, and best practices

Preferred Qualifications

• 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)