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About us: Rubick.ai is one of the fastest-growing eCommerce enablement platforms. We specialise in Product Discovery, Search and Market Intelligence for marketplaces, brands, and sellers. We offer an end-to-end full-stack Product Information, Cataloging, and Marketing platform as a solution for eCommerce. Rubick has catalogued over 5M SKUs for 200+ leading eCommerce brands like Amazon, Hudson Bay US, Zilingo Singapore, The Luxury Closet-UAE, and Myntra in India, the US, Singapore, and other international markets. Visit us: https://www.rubick.ai/
Job Responsibility:
Design, develop, and maintain scalable and high-performance data-crawling infrastructure
Collaborate with product management and other cross-functional teams to understand requirements and translate them into technical solutions
Write clean, efficient, and maintainable code adhering to best practices and coding standards
Conduct code reviews, provide constructive feedback, and mentor junior team members to foster a culture of continuous improvement
Perform testing, debugging, and troubleshooting of applications to ensure optimal performance and reliability
Stay updated on emerging technologies, tools, and industry trends to suggest and implement innovative solutions
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
1-5 years of professional experience as a Data crawling engineer or similar role
Proficiency in frontend technologies such as Scrapy, Selenium
Strong backend development skills using languages like Python, Node.js, or similar, along with experience with backend frameworks (e.g., Django, Fast API)
Familiarity with breaking different web security and crawling at scale
Experience working with databases (SQL, NoSQL) and understanding of database design principles
Knowledge of RESTful APIs and experience in building and consuming them
Familiarity with version control systems (e.g., Git), CI/CD pipelines, and cloud services (AWS, Azure, or GCP)
Excellent problem-solving skills and the ability to work in a collaborative team environment