Senior Data Engineer

Job Description

OKX is seeking a Senior Data Engineer to join their team in Hong Kong. The candidate will be responsible for designing, developing, and maintaining real-time and batch data processing pipelines using Flink, ensuring high performance and scalability. He/she will be working closely with cross-functional teams, including AI, compliance, risk, and engineering, to provide robust and scalable data solutions. The Senior Data Engineer will also troubleshoot and resolve performance bottlenecks and technical challenges in real-time stream processing, ensuring system stability and scalability, as well as improve system performance and data integrity, addressing complex issues in real-time data pipelines.Here are the key responsibilities:

• Design, develop, and maintain real-time and batch data processing pipelines using Flink.
• Architecture design and development of Flink streaming systems.
• Collaborate with data scientists to support feature engineering and develop feature stores.
• Work closely with cross-functional teams to provide robust and scalable data solutions.
• Troubleshoot and resolve performance bottlenecks and technical challenges.
• Improve system performance and data integrity.

OKX is looking for someone who has:

• Deep expertise in Apache Flink.
• Familiarity with data platforms such as Alibaba Cloud Hologres, Doris/Clickhouse, and Spark.
• Experience in feature engineering and feature store development.
• At least 10 years of relevant work experience.
• Background in FinTech or blockchain companies.
• Strong English communication skills.

The role offers:

• Opportunity to work in blockchain and web3 technologies.
• Chance to work in a cross-national team.
• Chance to work with cloud technologies.