What you'll do:

• Leverage your expertise in Python to design and implement distributed systems for web scraping, ensuring robust data extraction from diverse web sources.
• Develop and optimize scalable, self-healing scraping frameworks, integrated with AI tools for intelligent automation of the data collection process.
• Implement monitoring, logging, and alerting mechanisms to ensure high availability and performance of distributed web scraping systems.
• Work with large-scale NoSQL databases (e.g., MongoDB) to store and query scraped data efficiently.
• Collaborate with cross-functional teams to research and implement innovative AI-driven solutions for data extraction and automation.
• Ensure data integrity and security while interacting with various web sources.

What makes you a great fit:

• Extensive experience with Python and web frameworks like Flask, FastAPI, or Django.
• Experience with AI tools and machine learning libraries to enhance and automate scraping processes.
• Solid understanding of building and maintaining distributed systems, with hands-on experience in parallel programming (multithreading, asynchronous, multiprocessing).
• Working knowledge of asynchronous queue systems like Redis, Celery, RabbitMQ, etc., to handle distributed scraping tasks.
• Proven experience with web mining, scraping tools (e.g., Scrapy, BeautifulSoup, Selenium), and handling dynamic content.
• Proficiency in working with NoSQL data storage systems like MongoDB, including querying and handling large datasets.
• Knowledge of working with various front-end technologies and how various websites are built.