Big data platform for power grid operations and energy infrastructure
北京国网普瑞特builds data infrastructure for the power sector using a mature Java + Scala + Python stack layered on Hadoop, Flink, Kafka, and HBase. The tech shape—distributed computing, streaming, and columnar storage—reflects deep focus on real-time grid telemetry and operational analytics. Active projects span power usage monitoring, charging networks, and swapping platforms, with pain points clustering around big data migration and operational complexity.
北京国网普瑞特develops software platforms and big data infrastructure for power utilities and energy operators in China. The company operates across three interconnected areas: power grid information systems (usage collection, real-time monitoring), charging and battery-swap management for EV infrastructure, and underlying data platforms (Hadoop, Flink, Kafka). The organization is engineering-centric with embedded product and research functions, structured to support both greenfield platform builds and ongoing project delivery for utilities.
Java, Scala, Python for compute; Hadoop, Apache Flink, Kafka, HBase, HDFS, and Hive for distributed data processing; MySQL and Oracle for transactional storage; Vue and Element UI for frontend interfaces.
Power usage information collection systems, grid information platforms, EV charging and battery-swap operation management, big data platform development, and technology applications tied to research awards in the power sector.
Beijing (北京市), China. All current hiring is within China.
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