和泰人寿 operates a data-heavy insurance backend spanning Hadoop, Spark, Kafka, and traditional databases (Oracle, SQL Server), with recent focus on AI foundational models and large-language-model efficiency. The org is finance-dominated (7 of 22 staff) with minimal engineering headcount, suggesting a legacy-systems maintenance posture rather than product innovation — pain points around manual financial reporting and settlement timeliness confirm the backlog.
和泰人寿 is a life insurance company headquartered in Jinan, Shandong Province, China. The technical footprint is backend-heavy: batch processing (Hadoop, Hive, Spark), streaming (Kafka, Spark Streaming), and established database layers (Oracle, MySQL, SQL Server). Active initiatives include asset management system implementation, digital key technology development, and AI capability construction. The organization balances operational finance (7 staff in finance, 2 in data) with core insurance underwriting and settlement workflows.
Hadoop, Hive, Apache Spark, Kafka, Oracle, MySQL, SQL Server, Java, Python, Scala, SAP, and Spring MVC/Spring Boot frameworks. Also uses Prophet for forecasting and Microsoft Office for reporting.
Jinan (济南市), Shandong Province (山东省), China. All hiring activity is within China.
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