Big Data Development Engineer

Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.

Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.

Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.

• 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.
• Data Governance : Establish systems for data cleaning, quality monitoring, and alerting to continuously improve the accuracy and stability of data delivery.

• Education : Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or related fields.
• Technical Experience : At least 2 years of experience in data warehouse development. Expert proficiency in SQL with extensive experience in SQL optimization and familiarity with big data engines such as SparkSQL.
• Core Knowledge : Deep understanding of Data Warehouse and BI systems, including ETL, data warehouse architecture, OLAP, and multidimensional modeling.
• Programming Skills : Proficiency in at least one programming language among Python, Scala, or Java, with strong engineering capabilities.
• Ecosystem Familiarity : Preferred experience with the big data ecosystem, including Hadoop, Hive, Spark, Flink, Kafka, Trino, Doris, or TiDB.
• Soft Skills : Rigorous work ethic, excellent logical thinking and learning abilities. Skilled in communication and teamwork with the ability to independently drive the resolution of complex issue.

• Study Growth Fund: We support your professional development and continuous learning.
• Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
• Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
• Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
• Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.