Web Scraping Specialist

• Scalability/Performance: Lead and provide expertise in scraping at scale e-commerce marketplaces.
• Data Source Identification: Identify relevant websites and online sources from which data needs to be scraped. Collaborate with the team to understand data requirements and objectives.
• Web Scraping Design: Develop and implement effective web scraping strategies to extract data from targeted websites. This includes selecting appropriate tools, libraries, or frameworks for the task.
• Data Extraction: Create and maintain web scraping scripts or programs to extract the required data. Ensure the code is optimized, reliable, and can handle changes in the website's structure.
• Data Cleansing and Validation: Cleanse and validate the collected data to eliminate errors, inconsistencies, and duplicates. Ensure data integrity and accuracy throughout the process.
• Monitoring and Maintenance: Continuously monitor and maintain the web scraping processes. Address any issues that arise due to website changes, data format modifications, or anti-scraping mechanisms.
• Scalability and Performance: Optimize web scraping procedures for efficiency and scalability, especially when dealing with a large volume of data or multiple data sources.
• Compliance and Legal Considerations: Stay up-to-date with legal and ethical considerations related to web scraping, including website terms of service, copyright, and privacy regulations.
• Documentation: Maintain detailed documentation of web scraping processes, data sources, and methodologies. Create clear and concise instructions for others to follow.
• Collaboration: Collaborate with other teams such as data analysts, developers, and business stakeholders to understand data requirements and deliver insights effectively.
• Security: Implement security measures to ensure the confidentiality and protection of sensitive data throughout the scraping process.

• Proven experience of 7+ years as a Web Scraping Specialist or similar role, with a track record of successful web scraping projects.
• Expertise in handling dynamic content, user-agent rotation, bypass CAPTCHAs, rate limits, and utilization of proxy services.
• Knowledge on browser fingerprinting
• Has leadership experience.
• Proficiency in programming languages commonly used for web scraping, such as Python, BeautifulSoup, Scrapy, or Selenium.
• Strong knowledge of HTML, CSS, XPath, and other web technologies relevant to web scraping and Coding.
• Knowledge and experience in best of class data storage and retrieval of large volume of scraped data.
• Understanding of web scraping best practices, including handling dynamic content, user-agent rotation, and IP address management.
• Attention to detail and the ability to handle and process large volumes of data accurately.
• Familiarity with data cleansing techniques and data validation processes.
• Good communication skills and the ability to collaborate effectively with cross-functional teams.
• Knowledge of web scraping ethics, legal considerations, and compliance with website terms of service.
• Strong problem-solving skills and the ability to adapt to changing web environments

• 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 for data extraction and natural language processing is desired but not mandatory
• Prior experience in handling large-scale data projects and working with big data frameworks.
• Understanding of various data formats such as JSON, XML, CSV, etc.
• Experience with version control systems like Git.

Hypersonix