Big-data and grid-analytics platform for energy and financial systems
北京宏天信业 builds specialized analytics and monitoring software for power grids and financial institutions, with a backend stack centered on Kafka, Elasticsearch, ClickHouse, and RocketMQ — tools optimized for high-throughput data ingestion and real-time decision support. The engineering-heavy org (14 of 16 employees) reflects active development across grid control algorithms, bank system optimization, and energy integration platforms, with minimal recent hiring velocity despite 19 open roles.
Notable leadership hires: Finance Director
北京宏天信业 is a Beijing-based software firm serving energy utilities and banking institutions across mainland China. The company operates three primary lines of business: grid analysis and control systems (including short-term planning support for power networks), big-data monitoring platforms for decision support, and internal system modernization for banks. Active projects span grid monitoring algorithms, renewable energy integration consulting, call-center infrastructure, and financial forecasting tools. The organization is structured around engineering delivery, with 16 total employees and a mid-career majority.
Java and Python on Linux/Windows; Kafka and RocketMQ for streaming; Elasticsearch and ClickHouse for analytics; Oracle, MySQL, PostgreSQL, and MongoDB for persistence; Spring Boot and MyBatis for application frameworks.
Grid monitoring and control algorithms, renewable energy integration consulting, bank system optimization and performance tuning, call-center platform development, and financial forecasting tools for internal and client use.
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