Job Description

Key Responsibilities: Develop and maintain automated web scraping scripts using Python libraries such as BeautifulSoup, Scrapy, and Selenium. Optimize scraping pipelines for performance, scalability, and resource efficiency. Handle dynamic websites, CAPTCHA-solving, and implement IP rotation techniques for uninterrupted scraping. Process and clean raw data, ensuring accuracy and integrity in extracted datasets. Collaborate with cross-functional teams to understand data requirements and deliver actionable insights. Leverage APIs when web scraping is not feasible, managing authentication and request optimization. Document processes, pipelines, and troubleshooting steps for maintainable and reusable scraping solutions. Ensure compliance with legal and ethical web scraping practices, implementing security safeguards. Requirements: Education : Bachelors degree in Computer Science, Engineering, or a related field. Experience : 2+ years of Python development experience, with at least 1 year focused on web scraping. Technical Skills : Proficiency in Python and libraries like BeautifulSoup, Scrapy, and Selenium. Experience with regular expressions (Regex) for data parsing. Strong knowledge of HTTP protocols, cookies, headers, and user-agent rotation. Familiarity with databases (SQL and NoSQL) for storing scraped data. Hands-on experience with data manipulation libraries such as pandas and NumPy. Experience working with APIs and managing third-party integrations. Familiarity with version control systems like Git. Bonus Skills : Knowledge of containerization tools like Docker. Experience with distributed scraping solutions and task queues (e.g., Celery, RabbitMQ). Basic understanding of data visualization tools. Non-Technical Skills : Strong analytical and problem-solving skills. Excellent communication and documentation skills. Ability to work independently and collaboratively in a team environment. CANDIDATES AVAILABLE FOR FACE-TO-FACE INTERVIEWS ARE PREFERRED.