Web Scraping Architect

As a Web Scraping Architect, your role involves designing, implementing, and maintaining web scraping processes to efficiently and accurately gather data from various online sources. **Key Responsibilities:** - Lead and provide expertise in scraping at scale for e-commerce marketplaces. - Identify relevant websites and online sources for data scraping. - Work closely with the team to understand data requirements and objectives. - Develop and implement effective strategies to extract data from targeted websites using appropriate tools, libraries, or frameworks. - Create and maintain web scraping scripts to extract required data, ensuring optimized, reliable code that can handle website structure changes. - Cleanse and validate collected data to ensure integrity and accuracy. - Continuously monitor and maintain web scraping processes, addressing any issues that arise due to changes in websites or data formats. - Stay updated on legal and ethical considerations related to web scraping. - Maintain detailed documentation of web scraping processes and methodologies. - Work with data analysts, developers, and stakeholders to understand data requirements and deliver insights effectively. - Implement security measures to protect sensitive data during scraping processes. **Qualifications:** - 7+ years of proven experience as a Web Scraping Specialist or similar role. - Expertise in handling dynamic content, CAPTCHAs, rate limits, and proxy services. - Leadership experience. - Proficiency in programming languages such as Python, BeautifulSoup, Scrapy, or Selenium. - Strong knowledge of HTML, CSS, XPath, and other relevant web technologies. - Experience in data storage and retrieval of large volumes of data. - Understanding of web scraping best practices. - Attention to detail and ability to process large volumes of data accurately. - Good communication and collaboration skills. - Knowledge of web scraping ethics and legal considerations. **Qualifications required for this role:** - Bachelor's degree in Computer Science, Data Science, Information Technology, or related fields. - Experience with cloud-based solutions and distributed web scraping systems. - Familiarity with APIs and data extraction from non-public sources. - Knowledge of machine learning techniques and natural language processing is desirable. - Prior experience with large-scale data projects and big data frameworks. - Understanding of data formats such as JSON, XML, CSV. - Experience with version control systems like Git.,