Senior Data Engineer
2 months ago
What You'll Be Doing:
- Design, develop, and maintain real-time 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.
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