7 months ago
Hong Kong, Hong KongSenior
Responsibilities
- Design, develop, and maintain real-time and batch data processing pipelines using Apache Flink.
- Architect and develop scalable Flink streaming systems for complex business requirements.
- Support feature engineering and develop production feature stores for machine learning models.
- Collaborate with AI, compliance, risk, and engineering teams on scalable data solutions.
- Troubleshoot streaming performance bottlenecks and technical challenges.
- Improve system performance, data integrity, stability, and scalability.
Requirements
- Deep expertise in Apache Flink and streaming architecture design and development.
- Familiarity with Alibaba Cloud Hologres, Doris or ClickHouse, and Apache Spark.
- Experience with feature engineering and feature store development for production machine learning applications.
- At least 10 years of relevant work experience, particularly in large enterprises or international fintech companies.
- Background in fintech or blockchain companies.
- Strong English communication skills for cross-national collaboration.
- Experience developing feature stores and knowledge of blockchain technology are bonuses.
Tech Stack
Categories
Data Engineering
About OKX
OKX builds a global cryptocurrency exchange and Web3 wallet used by retail and institutional traders for spot, derivatives, and DeFi access, with developer APIs. Its business model centers on trading and financing fees, plus wallet and on-chain services. Founded in 2017 and privately held, OKX publishes monthly proof-of-reserves and operates as part of the OKG group serving crypto markets worldwide.