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, andprocesses 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:

-

Secondary (Preferred):

• Tools & Technologies:

- Scraping Frameworks:

- CAPTCHA Solutions:

- Proxy Management:

- Headless Browsers:

- Databases:

- Cloud Platforms (Preferred):

• Orchestration & Automation:

-

- 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 ofservice, 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.