Senior Data Scraping Engineer

Job Summary

We are seeking a highly skilled and experienced Senior Data Scraping Engineer to design, develop, and orchestrate robust web scraping frameworks. The ideal candidate will have 8-10 years of experience in ethical web scraping, including navigating login-protected websites, solving CAPTCHAs, and managing proxies or third-party services. You will be responsible for building scalable, efficient, and compliant scraping pipelines using industry-standard programming languages and tools, ensuring data integrity and adherence to legal and ethical guidelines.

Key Responsibilities

• Framework Development: Design and implement end-to-end web scraping frameworks to extract structured data from diverse web sources, including those requiring authentication (e.g., behind logins).
• CAPTCHA Handling: Develop and integrate solutions to bypass or solve CAPTCHAs (e.g., reCAPTCHA, hCaptcha) using ethical tools, services, or machine learning techniques.
• Proxy & Service Management: Configure and manage proxy services (e.g., rotating proxies, residential proxies) and third-party APIs (e.g., CAPTCHA-solving services) to ensure uninterrupted and anonymous scraping operations.
• Ethical Compliance: Ensure all scraping activities comply with website terms of service, data privacy regulations (e.g., GDPR, CCPA), and industry best practices for ethical data collection.
• Data Quality & Validation: Implement robust data validation and cleaning processes to ensure the accuracy, completeness, and consistency of scraped data.
• Scalability & Optimization: Build scalable scraping pipelines capable of handling large volumes of data with optimized performance, minimal latency, and efficient resource utilization.
• Monitoring & Maintenance: Develop monitoring tools to track scraping performance, detect failures (e.g., IP bans, structural changes in websites), and maintain scraping scripts to adapt to website updates.
• Collaboration: Work closely with data engineers, analysts, and product teams to understand data requirements and deliver high-quality datasets for downstream applications.
• Documentation: Maintain comprehensive documentation for scraping workflows, tools, and
  
  processes to ensure transparency and reproducibility.

Required Qualifications

• Experience: 4-10 years of professional experience in web scraping, data extraction, or related fields, with a proven track record of handling complex scraping projects.
• Programming Languages:

- Primary: Proficiency in Python (e.g., Scrapy, BeautifulSoup, Selenium, Requests) for building

scraping scripts and frameworks.

• Secondary (Preferred): Familiarity with (e.g., Puppeteer, Cheerio) for
  
  dynamic website scraping or Go for high-performance tasks.

• Tools & Technologies:

- Scraping Frameworks: Expertise in Scrapy, Selenium, Puppeteer, or equivalent tools for

scraping static and dynamic web content.

- CAPTCHA Solutions: Experience with CAPTCHA-solving services (e.g., 2Captcha, Anti-

CAPTCHA) or custom ML-based solutions.

- Proxy Management: Hands-on experience with proxy services like Bright Data, Oxylabs,

Smartproxy, or ScrapingBee for IP rotation and anonymity.

- Headless Browsers: Proficiency in using headless browsers (e.g., Chrome, Firefox) for

scraping JavaScript-heavy websites.

- Databases: Knowledge of SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) for

storing and querying scraped data.

- Cloud Platforms (Preferred): Familiarity with AWS, GCP, or Azure for deploying scraping

pipelines or managing infrastructure.

• Orchestration & Automation:

- Experience with workflow orchestration tools like Apache Airflow, Prefect, or Celery for

scheduling and managing scraping tasks.

• Knowledge of containerization (e.g., Docker) and CI/CD pipelines for deploying scraping
  
  scripts.

• Ethical & Legal Knowledge: Strong understanding of web scraping ethics, website terms of
  
  service, and data privacy regulations (e.g., GDPR, CCPA).

• Problem-Solving: Exceptional ability to troubleshoot issues like IP bans, rate limits, and website structural changes.
• Communication: Strong verbal and written communication skills to collaborate with cross-functional teams and document processes effectively.

Preferred Qualifications

• Experience with machine learning or AI-based techniques for CAPTCHA solving or dynamic content extraction.