Big data platform and ML infrastructure for enterprise data operations
秦皇岛晨砻信息科技 operates a mature big data stack—Java + Spring on Hadoop, Spark, Flink, and Kafka—with deep investments in warehouse design, real-time ingestion, and distributed ML. The hiring profile (senior and mid-level talent split evenly across data, engineering, and ops) and active project list signal a company scaling internal data infrastructure rather than early-stage product development, tackling throughput and inference performance challenges at the platform level.
秦皇岛晨砻信息科技 builds big data platforms and machine learning infrastructure for enterprise customers in China. The company's operational focus spans data warehouse design, real-time and batch ingestion pipelines, and distributed ML platform architecture. Their tech stack is anchored in the Hadoop ecosystem (HDP, HDFS, Yarn, Hive, Impala, Kylin, Phoenix) with Kafka for event streaming, Spark and Flink for processing, and Spring/Java for application services. The team is based in Qinhuangdao, Hebei province, with 51–200 employees concentrated in data, engineering, and operations roles.
Java, Spring, and Hadoop ecosystem (HDP, HDFS, Yarn, Hive, Impala, Kylin, Phoenix). Event streaming via Kafka; processing via Spark and Flink; data stores include MySQL, Oracle, HBase, Redis.
Big data architecture and platform design; data warehouse and data operations platforms; real-time and batch data ingestion; distributed machine learning platforms; and large-model application development.
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