Big Data Development Engineer

Bybit·Kuala Lumpur, Malaysia·onsite
crypto:applicationengineeringIC4Big Data
Compensation
Not disclosed
About Us Established in March 2018, Bybit is one of the fastest growing cryptocurrency derivatives exchanges, with more than 70 million registered users. We offer a professional platform where crypto traders can find an ultra-fast matching engine, excellent customer service and multilingual community support. We provide innovative online spot and derivatives trading services, mining and staking products, as well as API support, to retail and institutional clients around the world, and strive to be the most reliable exchange for the emerging digital asset class. Our core values define us. We listen, care, and improve to create a faster, fairer, and more humane trading environment for our users. Our innovative, highly advanced, user-friendly platform has been designed from the ground-up using best-in-class infrastructure to provide our users with the industry's safest, fastest, fairest, and most transparent trading experience. Built on customer-centric values, we endeavour to provide a professional, 24/7 multi-language customer support to help in a timely manner. As of today, Bybit is one of the most trusted, reliable, and transparent cryptocurrency derivatives platforms in the space. Job Responsibilities Warehouse Construction & Optimization : Responsible for the construction and optimization of the group-level public data warehouse (Offline & Real-time) to consolidate unified data assets. Tag System Development : Lead the construction of the tag system, developing both real-time and offline tagging capabilities to support business activities and precision user outreach. Feature Engineering : Design and develop user and product feature libraries; collaborate with algorithm teams to drive the implementation of personalized recommendations and intelligent applications. Modeling & Architecture : Gain a deep understanding of business requirements to complete data warehouse modeling and data asset design, ensuring the reusability and scalability of platform data.