
AR/VR • eCommerce • Retail
Leap Tools is a company specializing in augmented reality (AR) technology, offering innovative tools designed to enhance sales and consumer experiences. Their mission is to beautify spaces by making it faster and easier for consumers to realize their vision through their room visualizer, Roomvo. Leap Tools partners with both local retailers and global brands to bring unprecedented realism to room visualization, striving to impact the home decor industry significantly.
51 - 200 employees
🥽 AR/VR
🛍️ eCommerce
🛒 Retail
November 22

AR/VR • eCommerce • Retail
Leap Tools is a company specializing in augmented reality (AR) technology, offering innovative tools designed to enhance sales and consumer experiences. Their mission is to beautify spaces by making it faster and easier for consumers to realize their vision through their room visualizer, Roomvo. Leap Tools partners with both local retailers and global brands to bring unprecedented realism to room visualization, striving to impact the home decor industry significantly.
51 - 200 employees
🥽 AR/VR
🛍️ eCommerce
🛒 Retail
• Design, build, and optimize high-volume, high-performance ELT pipelines to load data into our centralized data warehouse. • Collaborate closely with Product, ML Engineers, Data Scientists, and DevOps to define and enforce a reliable, scalable, and secure data platform architecture. • Take ownership of key data warehouse components, driving their initial development, deployment, operational monitoring, and continuous improvement. • Provide technical leadership through data architecture reviews, system design discussions, and improving team processes and data engineering best practices. • Help us build a strong team through mentorship and by participating in the hiring process.
• 5+ years of professional data engineering experience building scalable data systems and pipelines. • Expert proficiency in SQL and strong coding skills in Python. • Deep, hands-on experience with Data Warehousing design, building and managing large data lakes and warehouses. • Strong computer science fundamentals, particularly in data structures, algorithms, and distributed systems, based on a degree in Computer Science or distinctive work experience. • Solid understanding of distributed system architecture, focusing on data availability, reliability and performance. • Strong focus on execution and delivery of the product. • Exceptional attention to detail and focus on quality and long-term goals. • Strong communication skills. • A demonstrated ability to provide guidance, mentorship, and support. • A leadership mindset. You take initiative, make decisions and deliver results consistently. • Comfortable working in a fast-paced, evolving environment where learning and adaptability are key. • Familiarity with the stack is strongly preferred but not required.
• Work anywhere in the world for up to 3 months! • Generous time off • Parental leave program • Work-from-home stipend • Your birthday is a day off!
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