創刊於 20262026年10月21日星期三第一卷 · 第一期English

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首次發現: 2026年10月21日最後核實: 2026年10月21日

Data Platform Engineer

MGM
澳門半島Information Technology全職2026年10月21日

職位描述

We are proud to offer excellent opportunities for talented individuals to join the roaring team of MGM China. 我們誠邀才華出眾的您,把握美高梅中國事業​機會,與金獅再闖另一座高峰。 Job Responsibilities: • Design, implement, maintain and optimize data pipelines in data platforms, including but not limited to data warehouse, real-time marketing platform and other data product platforms. • Monitor platform operations, conduct root cause analysis of incidents, and implement corrective actions to ensure stable, reliable, and efficient platform services. • Design, implement, maintain and optimize automated monitoring and alerting for core data services. • Automate repetitive tasks to improve efficiency and reduce manual intervention. • Continuously enhance the operational quality of business products to support rapid growth in business and data volume. • Collaborate with development teams to integrate new features and improvements. • Develop and maintain documentation for systems and processes. • Participate in on-call rotations to provide 24/7 support for critical systems. • Work on other SRE-related tasks to ensure platforms meeting SLO (Service Level Objective) requirement. Job Requirements: • Bachelor’s degree or above in Computer Science or Information Management related fields. • 2+ years of experience in data development or platform DevOps/SRE-related work. • Proficient in SQL programing, familiar with the complete data processing workflow, including data collection, cleaning, preprocessing, transformation, storage, and visualization, with relevant experience in data product development. • Experience in other programing languages such as Python, Shell Scripting. • Clear logical thinking, standardized programming style, and good documentation / commenting habits. • Sensitive to data, able to identify potential data issues, debug programs in a timely manner, and have strong problem-solving skills. • Understanding of distributed computing systems and streaming processing technique such as Hive, MapReduce, HDFS, Spark, Flink, Kafka, etc.

職位詳情及有效狀態以僱主官方招聘網站為準。