北京骏马客运 operates a big data platform built on Hadoop, Spark, Flink, and Kafka — a mature, production-grade stack for batch and stream processing. Active projects center on platform architecture and distributed systems design, with hiring concentrated in mid-level engineering roles. The minimal recent hiring velocity and small engineering footprint (5 total active roles) suggest a consolidation phase rather than rapid scaling.
北京骏马客运 is a transportation and logistics operator in Beijing with 1,001–5,000 employees. The company has invested in internal big data infrastructure spanning ingestion (Kafka), storage (HBase, Hive), processing (Spark, Flink), and search (Elasticsearch), with a web tier using React and Vue. The platform appears to support operational analytics and real-time decision-making across the truck transportation business. Engineering and data teams operate out of Beijing headquarters.
Hadoop, Apache Spark, Flink, Hive, HBase, Kafka for data processing; Elasticsearch for search; React and Vue for frontend; Java as primary backend language.
Active projects include big data platform architecture design, distributed systems solutions, and frontend development for the platform.
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