
Data Scraping Solutions Architect
14 hours ago
Job Summary:
We are seeking an experienced Data Scraping Solutions Architect to drive our data extraction initiatives forward. The ideal candidate will have a minimum of 4 years of hands-on experience in IT scraping, with at least 2 years leading a team of 5+ developers.
This role requires deep technical knowledge in advanced scraping techniques, reverse engineering, automation, and leadership skills to drive the team towards success.
Main Responsibilities:
- Design and develop scalable data scraping solutions using tools like Scrapy and Python libraries.
- Lead and mentor a team of 5+ developers, managing project timelines and deliverables.
- Implement advanced blocking and captcha-solving techniques to bypass scraping restrictions.
- Conduct source code reverse engineering and automate web and app interactions.
- Manage proxies, IP rotation, and SSL unpinning to ensure effective scraping.
- Maintain and improve API integrations and data pipelines.
- Ensure code quality through effective version control, error handling, and documentation.
- Collaborate with cross-functional teams for project planning and execution.
- Monitor performance and provide solutions under high-pressure environments.
Required Skills and Qualifications:
- Data Scraping: Minimum 4 years in IT scraping industry
- Leadership: Minimum 2 years leading a team of 5+ developers
- Scraping Tools: Scrapy, Threading, requests, web automation
- Technical Proficiency:
- Advanced Python
- Captcha solving and blocking handling
- Source reverse engineering
- Proxy management & IP rotation
- App automation, SSL Unpin, Frida
- API Management, Version Control Systems
- Error Handling, SQL, MongoDB, Pandas
- Leadership Skills:
- Project management
- Documentation
- Team handling
- Pressure management
- Flexibility and adaptability
- Accountability
Preferred (Good to Have):
- Experience with Linux
- Knowledge of Appium, Fiddler, Burp Suite
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