Data Platform Engineer

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.