Data Processing Specialist - Web Scraper
Full-time
Fortnine
Hello! We're FortNine. We are one of North America’s fastest growing e-commerce stores in the powersports industry, and are looking to grow our ranks! We are currently seeking a dedicated and skilled Intermediate Data Processing Specialist with a strong focus on web scraping and python development to join our dynamic team. This role requires a deep understanding of web technologies, data extraction techniques, and data formatting. The ideal candidate will have a proven track record of developing efficient web scraping solutions and processing large datasets with accuracy. Only Montreal and surrounding area applicants are being considered. Key Responsibilities:
Interested candidates should submit relevant project examples or GitHub repositories that demonstrate expertise in web scraping and data processing.
- Design, develop, and maintain web scraping scripts and tools to extract data from various online sources efficiently.
- Implement advanced data parsing, cleaning, and formatting techniques using Python and regular expressions.
- Work closely with data analysts and other stakeholders to understand data requirements and deliver structured data in usable formats.
- Ensure data integrity and reliability of scraped data through rigorous testing and validation processes.
- Optimize existing scraping and data processing scripts for performance and scalability.
- Stay updated with the latest web technologies and scraping methodologies to ensure best practices are followed.
- Participate in code reviews, contributing to the team's continuous improvement in code quality and best practices.
- Minimum of 1 year of professional experience in Python programming, specifically focused on web scraping and data processing.
- Strong understanding of HTML, CSS, JavaScript, and other web technologies relevant to web scraping.
- Experience with Python frameworks such as Scrapy, Beautiful Soup, Selenium or Flask/Django.
- Familiarity with database systems (MySQL) and data storage formats (JSON, CSV, XML).
- Advanced skills in writing complex regular expressions for efficient data parsing and validation.
- Solid understanding of best practices in web scraping, including respect for robots.txt, rate limiting, and user-agent string usage.
- Solid understanding of version control (Git).
- Excellent problem-solving abilities, with attention to detail and accuracy in data handling.
- Strong communication skills and the ability to work effectively in a team environment.
- Proactive in staying current with new technologies and programming techniques.
- Availability to work in a hybrid setting, with a schedule that includes both in-office and remote work.
- Willingness to participate in team meetings and collaborate with colleagues both in-person and virtually.
- A collaborative and supportive work environment where innovation and creativity are encouraged.
- Opportunities for professional growth and development.
- Competitive salary and benefits package.
- Flexible hybrid work arrangements to support work-life balance.
Interested candidates should submit relevant project examples or GitHub repositories that demonstrate expertise in web scraping and data processing.
Vacancy posted 12 hours ago
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