Senior Data Engineer

What Youll 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.