Senior Staff/ Principal Data Engineer

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.  

Who We Are

At OKX, we believe the future will be reshaped by technology. Founded in 2017, we are revolutionising world systems through our cutting-edge digital asset exchange, Web3 portal and blockchain ecosystems. We 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 50 million users in over 180 countries globally, OKX empowers every individual to explore the world of Web3. With our extensive range of products and services, and unwavering commitment to innovation, OKX envisions a world of financial access backed by blockchain and the power of decentralized finance.   We are innovative in the way we think, work, and in the products we create. We are also socially responsible by actively participating and encouraging employees to take part in various public welfare activities. With more than 3,000 employees around the world, we believe embracing diversity and inclusion will spark the creation of long-term value for the industry. Come Build the Future with Us now!  

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

Technical Requirements:

• 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.

Qualifications & Experience:

• 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

Perks & Benefits

• Competitive total compensation package
• L&D programs and Education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants 
• More that we love to tell you along the process!