E-commerce Data Automation Engineer

As a Python Developer at Kicks Machine, your primary responsibility will be to design and maintain Python-based web scrapers to extract real-time product, price, and inventory data. You will be expected to clean, normalize, and transform scraped data using pandas for seamless ingestion. Additionally, you will integrate with Shopify's GraphQL and REST APIs to automate bulk product updates, inventory management, and price adjustments. Your role will also involve building and managing automated workflows and Google Apps Script for daily KPI dashboards and order imports. Collaboration with marketing, operations, and finance teams is essential to ensure data accuracy and support data-driven decisions. Qualifications: - Bachelor's degree in CSE/IT, BCA, or MCA - Strong foundation in Python (data structures, OOP, file I/O) and web scraping libraries (e.g., BeautifulSoup, Requests) - Basic HTML/CSS knowledge and ability to use XPath/CSS selectors - Familiarity with REST and GraphQL APIs; willingness to learn Shopify integration - Basic database skills (SQL or NoSQL) to organize and version time-series price/product data - Setting up and managing cron jobs (n8n/cloud) for scheduled tasks - Excellent problem-solving mindset, self-motivated, quick learner, and strong communicator About Kicks Machine: Kicks Machine is India's fastest growing Marketplace for limited edition Sneakers and Luxury products. Inspired by Street culture across the world, Kicks Machine started in 2020 with the vision to bring Hype and Luxury under one roof. Remuneration: 280,000-320,000 LPA,