Data Scraping Expert (225-805)

We are seeking a skilled Data Scraping Expert to join our dynamic team. The ideal candidate will have a strong background in data scraping, data mining, and information retrieval. You will be responsible for extracting valuable insights from structured and unstructured data across various platforms. As part of our team, you will collaborate with data scientists, analysts, and developers to ensure data quality and relevance. This role requires a keen eye for detail, strong analytical skills, and the ability to manage multiple projects simultaneously. If you are passionate about uncovering data-driven insights and have expertise in modern data scraping tools and techniques, we would love to hear from you.

Responsibilities

• Design and implement efficient data scraping processes for various online platforms.
• Collaborate with development teams to integrate scraping solutions into existing systems.
• Analyze and interpret data extraction results to improve data accuracy and relevance.
• Maintain and update existing scrapers to enhance performance and data collection scope.
• Ensure compliance with legal and ethical standards in data scraping practices.
• Identify new data sources and evaluate their potential for expanding data coverage.
• Optimize scraping scripts to reduce errors and improve data retrieval speed.
• Develop mechanisms to manage large datasets and secure data storage solutions.
• Document scraping processes and ensure knowledge is transferable within the team.
• Assist in troubleshooting and resolving issues related to data extraction workflows.
• Stay updated with the latest data scraping tools, technologies, and industry trends.
• Provide recommendations to enhance data quality and streamline data ingestion processes.

Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Proven experience in data scraping, data extraction, or web scraping solutions.
• Strong programming skills in Python, JavaScript, or related scripting languages.
• Familiarity with data processing libraries and tools such as BeautifulSoup, Scrapy, or Selenium.
• Experience with managing and querying databases, particularly SQL and NoSQL databases.
• Understanding of HTML, CSS, and web protocols to facilitate effective data scraping.
• Excellent problem-solving skills and attention to detail in data analysis tasks.
• Ability to work independently and manage multiple projects with tight deadlines.