Über
At OKX, we believe that the future will be reshaped by crypto and contribute to individual freedom. OKX is a leading crypto exchange and developer of OKX Wallet, providing access to crypto trading and decentralized applications. We are a global team focused on security, reliability, and innovation. Responsibilities
Design, develop, and maintain real-time and batch data processing pipelines using Flink, ensuring high performance and scalability. Architect and develop Flink streaming systems, tailoring solutions to complex business requirements. Collaborate with data scientists to support feature engineering and develop feature stores for machine learning models in production. Work with cross-functional teams (AI, compliance, risk, engineering) to provide robust and scalable data solutions. Troubleshoot and resolve performance bottlenecks and technical challenges in real-time stream processing, ensuring system stability and scalability. Improve system performance and data integrity in real-time data pipelines. Qualifications
Deep expertise in Apache Flink for real-time data streaming and processing, with experience in designing and developing streaming architecture. Familiarity with data platforms such as Alibaba Cloud Hologres, Doris/Clickhouse, and Spark. Experience in feature engineering and feature store development to support machine learning applications in production environments. At least 10 years of relevant work experience, especially in large enterprises or international Fintech companies; background in FinTech or blockchain. Strong English communication skills to work effectively in a cross-national team. Bonus Points
Experience in developing feature stores. Experience with blockchain technology. Note: This description focuses on the responsibilities and qualifications for the role.
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Sprachkenntnisse
- English
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