Chemical manufacturer digitizing operations through enterprise data infrastructure
Jiangsu Chengxing operates a full Java/.NET/Python stack (Spring Cloud, Spark, Kafka, Hadoop) built around enterprise data systems—ERP, PLM, MES—and is actively architecting a centralized data warehouse alongside big-data analytics. The project list signals a shift from fragmented legacy systems toward integrated industrial digitalization: data governance, cloud integration, and smart factory automation are all in flight, while data security and cross-functional IT coordination remain open pain points.
Jiangsu Chengxing Phosph-Chemical is a public company in China's chemicals sector, headquartered in Jiangyin, Jiangsu province. The organization operates with 501–1,000 employees and maintains an engineering and data-focused technical footprint. Core initiatives center on enterprise data platform consolidation, industrial IoT integration, and smart manufacturing infrastructure—supported by established ERP, PLM, and MES deployments. Active hiring remains selective: 5 open roles, all in engineering and data, concentrated at senior and mid levels.
Java, .NET, Python, React, Vue across the application layer; Spring Cloud, Spring Boot, Tomcat for middleware; MySQL, Oracle, MongoDB for databases; Hadoop, Spark, Flink, Kafka for big-data processing; plus ERP, PLM, MES systems for operations.
Enterprise data warehouse construction, data governance and security audit, AI big-data analytics architecture, industrial digitalization systems, smart factory automation, and cloud data integration for manufacturing operations.
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