Clicflyer - Data Acquisition Specialist - Web Scraping

Responsibilities

• Develop Cutting-Edge Solutions : Design, develop and maintain robust web scraping solutions that extract large datasets from various websites, fueling our data-driven initiatives.
• Master Python Programming : Utilize advanced Python skills to implement and optimize sophisticated scraping scripts and tools.
• Leverage Advanced Tools : Employ industry-leading tools such as BeautifulSoup, Scrapy, Selenium, and other scraping frameworks to collect and process data efficiently.
• Innovate with AI : Use ChatGPT prompt skills to automate and enhance data extraction processes, pushing the boundaries of whats possible.
• Optimize Data Management : Clean, organize, and store extracted data in structured formats for seamless analysis and usage.
• Ensure Peak Performance : Optimize scraping scripts for performance, scalability, and reliability, ensuring top-notch efficiency.
• Troubleshoot with Precision : Identify and resolve data scraping issues, ensuring the datas accuracy and completeness.
• Document Thoroughly : Maintain clear and comprehensive documentation of scraping processes, scripts, and tools used for transparency and knowledge sharing.
  

Qualifications

• Experience : Minimum of 5 years in web data scraping, with a strong focus on handling large datasets.
• Python Expertise : Advanced skills in Python programming, particularly in the context of web scraping.
  

Tool Proficiency

• In-depth knowledge and experience with BeautifulSoup, Scrapy, Selenium, and other relevant scraping tools.
• Data Management : Strong skills in data cleaning, organization, and storage.
• Analytical Acumen : Excellent problem-solving and analytical skills to tackle complex scraping challenges.
• Detail-Oriented : Meticulous attention to detail to ensure data accuracy and completeness.
• Independence : Proven ability to work independently, managing multiple tasks and deadlines effectively.
  

Preferred Skills

• API Integration : Experience with integrating APIs for data extraction.
• Cloud Platforms : Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for data storage and processing.
• Database Knowledge : Understanding of database management systems and SQL for data storage and retrieval.
• Version Control : Proficiency in using version control systems like Git.