Job Description
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: 8-10 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 JavaScript/Node.js (e.g., Puppeteer, Cheerio) for
dynamic website scraping or Go for high-performance tasks.
- 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.
Job Classification
Industry: Internet (E-Commerce)
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Vinculum Solutions
Location(s): Gandhinagar
Keyskills:
Scrapy
Data Scraping Engineer
Scraping Engineer
Data Engineer
Python
Bright Data
Node.Js
Apache
ScrapingBee
NoSQL
Puppeteer
Docker
MySQL
Smartproxy
java script
Selenium
Oxylabs
AWS