Telecom operator scaling data analytics and cloud infrastructure across Asia
Sheng Tong He is a large-scale telecom operator in southern China running a mature big-data and analytics stack (Hadoop, Spark, Hive, HBase, Kylin alongside Cognos, Power BI, Tableau) while actively modernizing toward cloud platforms (Huawei, Alibaba, Tencent Cloud) and emerging AI use cases (large-model fine-tuning, deep reinforcement learning). The engineering-heavy hiring profile and project focus on network optimization, cloud contact-center architecture, and ML applications signal ongoing digital transformation across core operations.
Sheng Tong He operates as a telecommunications provider based in Zhuhai, Guangdong, serving enterprise and infrastructure customer bases across multiple geographies. The company runs distributed data infrastructure supporting business intelligence, real-time network analytics, and customer engagement systems. Current operational priorities include upgrading network operation metrics, migrating contact-center systems to cloud architecture, and building industry-specific AI capabilities. The organization maintains a presence in China and Italy, with active product and engineering teams scaling platform capabilities.
The company runs Hadoop, Spark, Hive, HBase, and Apache Kylin for distributed data processing, paired with Cognos, Power BI, and Tableau for analytics. Database layer includes Oracle, MySQL, MongoDB, and Redis. Machine learning uses scikit-learn, XGBoost, R, SAS, and Python. Cloud services span Huawei Cloud, Alibaba Cloud, and Tencent Cloud.
Active projects include network operation improvement, cloud contact-center architecture migration, PV/solar project deployment in the Philippines, charging infrastructure inspection, and fine-tuning large language models for telecom industry applications.
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