Scrapper (Data Integration Specialist)

Job Description

Join our team as a Scrapper, where you will manage the end-to-end process of data extraction and integration. The ideal candidate will have a solid background in various scraping tools, programming languages, and database management, contributing to data quality and insight generation.

Responsibilities

• Utilize tools and programming languages including Python, Java, or Ruby for web scraping.
• Integrate the scraped data into existing databases such as MySQL or MongoDB.
• Work closely with cross-functional teams to meet data needs.
• Conduct troubleshooting and debugging of scraping scripts.
• Regularly evaluate the performance of scraping systems and make necessary adjustments.
• Stay updated on new scraping technologies and techniques.

Requirements

Education

• Master's degree in Data Science or related field is preferred

Experience

• 3-5 years of experience in web scraping and data analysis

Technical Skills

• Scrapy
• Selenium
• MongoDB

Soft Skills

• Problem-solving
• Effective Communication

Certifications

• Google Professional Cloud Architect

Languages

• English: Fluent

Advantageous

• Understanding of machine learning principles: Basic knowledge of how machine learning can be applied to improve scraping techniques.
• Familiarity with Docker for containerization: Experience using Docker to manage application dependencies and environments.

Benefits

• Comprehensive health coverage including dental and vision
• Employee development programs and training
• Work-life balance initiatives
• Potential for remote work arrangements

Company Culture

• Continuous Improvement: We are committed to continuous learning and improvement, providing resources and opportunities for personal and professional growth.
• Work-Life Balance: We understand the importance of work-life balance and offer flexible arrangements to support our employees' well-being.