Data Crawling Analyst
Experience: 25 Years
Location: Remote (Work from Home)
Mode of Engagement: Full-time
No of Positions: 8
Educational Qualification: Bachelor's degree in Computer Science, IT, or related field
Industry: IT / Software Services / Data & AI
Notice Period: Immediate Joiners Preferred
What We Are Looking For
- Strong hands-on experience handling dynamic, JavaScript-heavy websites using Selenium, Playwright, or Puppeteer.
- Expertise in managing cookies, sessions, and local storage to maintain state and bypass authentication/anti-bot systems.
- Ability to solve CAPTCHAs programmatically using third-party or AI-based solutions.
- Proven experience in proxy rotation, IP management, and fingerprinting techniques to avoid detection and rate limits.
- Capability to design scalable data pipeline architectures to automate extraction, validation, transformation, and storage.
Responsibilities
- Develop and maintain high-scale automated scraping workflows for dynamic and protected websites.
- Implement browser automation solutions with Playwright/Selenium/Puppeteer for complex user flows and asynchronous rendering.
- Integrate CAPTCHA-solving services, proxy rotation systems, and advanced anti-detection mechanisms.
- Build robust ETL-style data pipelines ensuring data quality, monitoring, retries, and error handling.
- Collaborate with AI, data engineering, and product teams to deliver reliable scraping datasets.
Qualifications
- 35 years of experience in Python-based web scraping and automation.
- Strong experience in Selenium, Playwright, Puppeteer, and browser automation.
- Fluent in Python with experience using Requests, BeautifulSoup, Async frameworks, or Scrapy.
- Hands-on experience with proxy networks, fingerprinting, session handling, and anti-bot strategies.
- Understanding of SQL/NoSQL databases for structured data storage.
- Experience working with AWS/GCP/Azure is a plus.
- Strong debugging, analytical, and problem-solving skills.
