Senior Data Engineer

Who We Are

At OKX, we believe our future is reshaped with technology. Founded in 2017, OKX is one of the world’s leading cryptocurrency spot and derivatives exchanges. OKX innovatively adopted blockchain technology to reshape the financial ecosystem by offering some of the most diverse and sophisticated products, solutions, and trading tools on the market. Trusted by more than 20 million users in over 180 regions globally, OKX strives to provide an engaging platform that empowers every individual to explore the world of crypto. In addition to its world-class DeFi exchange, OKX serves its users with OKX Insights, a research arm that is at the cutting edge of the latest trends in the cryptocurrency industry. With its extensive range of crypto products and services, and unwavering commitment to innovation, OKX vision is a world of financial access backed by blockchain and the power of decentralized finance.

We invest in our people as much as we invest in technology. We are united by our engaging culture, here we win as a team, embrace changes, and do the right thing. We are committed to creating a friendly, rewarding and diverse environment for OKers. It doesn’t matter where you come from, here everyone feels valued, respected and has the same opportunities to develop and thrive — we want to bring out the best in you.

About the Team

Our company, specializing in blockchain and web3 technologies, places a high emphasis on security and reliability. We are seeking individuals who are deeply knowledgeable in operating systems, browsers, DApps, smart contract security, and programming language behaviors. Responsibilities include identifying potential risks such as private key storage and designing leakage prevention solutions.

What You’ll Be Doing:

• Design, develop, and maintain real-time and batch data processing pipelines using Flink, ensuring high performance and scalability.
• Responsible for the architecture design and development of 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 closely with cross-functional teams, including AI, compliance, risk, and 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, addressing complex issues in real-time data pipelines.

What We Look For In You:

• 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 companies.
• Strong English communication skills to work effectively in a cross-national team
  
  • Bonus Points:
    Experience in developing feature stores.
    Experience with blockchain technology.