Related skills
spark batch processing feature engineering feature store apache flinkπ Description
- Design, develop, and maintain real-time and batch data pipelines with Flink.
- Architect Flink streaming systems tailored to complex business needs.
- Collaborate with data scientists to support feature engineering and feature stores.
- Work with AI, compliance, risk and engineering to provide robust data solutions.
- Troubleshoot performance bottlenecks in real-time stream processing.
- Improve system performance and data integrity in real-time pipelines.
π― Requirements
- Deep expertise in Apache Flink for real-time streaming.
- Familiarity with Alibaba Cloud Hologres, Doris/Clickhouse, Spark.
- Experience with feature engineering and feature stores for ML.
- 10+ years in large enterprises or international Fintech.
- Background in FinTech or blockchain companies.
- Strong English communication for cross-national teams.
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