Own the research, technical evaluation, ingestion, cleansing, standardization, computation
Design scalable unified data models and ingestion frameworks
Build batch-stream unified data pipelines centered on Flink
Establish data quality and service-level frameworks
Evaluate data sources
Partner with trading product, data platform, AI engineering, and algorithm teams

🎯 Requirements

Master's degree or above
5+ years of experience in data engineering, big data, or data platforms
Familiar with stock markets and investor research
Proficient in SQL and Flink
Proficient in at least one of Java, Scala, or Python
Familiar with Kafka, Spark, ClickHouse, Doris, HBase, Elasticsearch

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