We are seeking an experienced and highly skilled Senior Python Web Scraping Developer to lead our web scraping initiatives. The candidate should have an expert-level proficiency in Python programming and a deep understanding of data schemas and web page structures. The successful candidate will be responsible for designing, developing, and maintaining advanced web scraping tools and scripts. The candidate will collaborate with cross-functional teams to gather and analyze data from various online sources, and will be responsible for optimizing scraping scripts for performance and reliability. The candidate will also provide guidance and mentorship to junior developers and stay up-to-date with the latest web scraping techniques and technologies.

• Proficiency in Python programming language.
• Understanding of data schemas and the ability to navigate through complex structures.
• Experience with web scraping using libraries like BeautifulSoup and urllib.
• Familiarity with HTML, CSS, and JavaScript for web page analysis.
• Knowledge of version control systems, such as Git.
• Experience with collaborative coding practices and working in a team environment.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
• Ability to work independently and handle multiple tasks simultaneously.
• Experience with data analysis and manipulation.
• Familiarity with data storage and retrieval technologies, such as databases or APIs.
• Knowledge of web technologies and protocols (HTTP, AJAX, etc.).
• Understanding of web page structure and how different elements interact.
• Proficiency in data cleaning and preprocessing techniques.
• Familiarity with data visualization tools and techniques.
• Knowledge of statistical analysis and data modeling.
• Strong analytical and critical thinking skills.
• Ability to troubleshoot and resolve issues or errors during the scraping process.
• Continuous learning mindset and staying updated with the latest web scraping techniques and technologies.
• Having experience or familiarity with the following technologies and frameworks can be beneficial:

• Design and develop advanced web scraping scripts using Python programming language.
• Utilize libraries like BeautifulSoup and urllib to extract data from web pages.
• Analyze complex data schemas and develop strategies to extract relevant information.
• Collaborate with cross-functional teams to identify data requirements and develop scraping solutions.
• Optimize scraping scripts for performance and reliability.
• Conduct quality assurance checks on scraped data to ensure accuracy and completeness.
• Troubleshoot and resolve any issues or errors that arise during the scraping process.
• Provide guidance and mentorship to junior developers.
• Stay up-to-date with the latest web scraping techniques and technologies.