Data Processing Specialist - Python Developer

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.

This position offers a hybrid work model, allowing for a balance between in-office collaboration and remote flexibility.

Therefore, only Montreal and surrounding area applicants are being considered. Key Responsibilities : 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.

Qualifications : 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.

Additional Requirements : 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. What We Offer : 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.

Application Instructions : Interested candidates should submit relevant project examples or GitHub repositories that demonstrate expertise in web scraping and data processing. Powered by JazzHR