WeMo Scooter 致力於智慧出行，讓用戶透過共享機車在城市中自由移動。我們總是在思考如何讓服務做得更好，並透過團隊合作實現解決方案，打造更好的使用者體驗，並讓共享經濟模式的發展更為成熟。如果你對於把數據、AI運用在共享機車的服務中有無限想像與熱情，歡迎你的加入！

• Design and implement real-time data pipelines, ETL processes, and data warehousing solutions.
• Analyze ML algorithms used to solve a given problem and ranking them by their success probability. Train models and tune hyperparameters.
• Work with software and data teams to improve our data infrastructure for increased reliability, maintainability, and scalability.
• Architect and design solutions to improve our data delivery capabilities, data quality monitoring, and data pipeline lifecycle.
• Configure and maintain GCP infrastructure and services to support data processes.
• Collaborate with cross-functional teams to identify data needs and develop data-driven solutions.
• Stay up-to-date with the latest technologies and industry trends related to Data Engineering.

• 5+ years of designing and building production data pipelines from ingestion to consumption in a cloud environment using SQL/NOSQL.
• Hands-on experience designing, building and operationalizing large-scale enterprise data solutions and applications. (Airflow, Databricks, Snowflake, Serverless Functions, Cloud storage preferred).
• Hands-on experience in any cloud application architecture & administration. (GCP preferred)
• Extensive knowledge of custom ETL design, implementation, and maintenance.
• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.

加分項目

• Experience to build up data infrastructure from draft to delivery.
• Experience to ML implementation on user behavior forecast.