Python Developer (Web Scraping)

Overview

**Roles & Responsibilities:

Develop, maintain, and optimize Python-based web scraping and crawling tools to extract data from various online sources.
Design and implement scalable and efficient web scraping architectures and workflows.
Work with cross-functional teams to understand data requirements and deliver actionable insights.
Handle dynamic and complex websites, including those with anti-scraping mechanisms.
Integrate scraped data into databases, data pipelines, or analytical tools.
Troubleshoot and resolve issues related to data extraction, including data integrity and performance challenges.
Ensure compliance with legal and ethical standards for web scraping and data collection.
Create and maintain documentation for web scraping processes and tools.
Stay updated on the latest trends and technologies in web scraping, crawling, and data processing.

Qualifications:
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
Proven experience in Python development, with a focus on web scraping and crawling.
Strong proficiency with Python libraries and frameworks such as BeautifulSoup, Scrapy, Selenium, or requests.
Solid understanding of web technologies including HTML, CSS, and JavaScript.
Experience with data handling and processing tools (e.g., Pandas, NumPy).
Knowledge of database systems (SQL and NoSQL) and data storage solutions.
Familiarity with version control systems (e.g. Git).
Strong problem-solving skills and attention to detail.
Ability to work independently and manage multiple projects simultaneously.

Preferred:
Experience with cloud platforms (e.g., AWS, Google Cloud) and containerization technologies (e.g., Docker).
Knowledge of API integration and data visualization tools.
Understanding of machine learning concepts and their application in data extraction and analysis.