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a Senior Data Engineer to join our team. In this role, you will be responsible for designing and optimizing our data pipelines, with a focus on planning the architecture for user data return from the product end. Responsibilities: Design and manage data pipelines, ensuring high quality and reliability. Take charge of planning the architecture for user data return from the product end. Develop and maintain data processing and ETL pipelines using tools like Apache Spark, Kafka,

1. Conduct data science projects to help clients drive solutions and solve business problems from various domains using a wide range of data science techniques, including but not limited to Machine learning, data visualization, statistics, and so on. 2. Design, develop and maintain scalable automated machine learning and data science pipelines and applications to empower users to extract valuable results. 3. Build new and enhance existing tools to strengthen the internal toolbox of the Data

料市集設計、開發、管理維護，用資料導向概念提升行銷業務，並導入系統以加強各項資料應用 5. ETL問題追蹤管理及系統文件撰寫，結構化及非結構化資料處理與整合 6. 系統規劃與維運 7.

科技，任何idea以及嘗試，我們都很熱意討論。 工作內容： 1. Develop and design data / backend service systems for business related purpose. Develop, operate, and monitor ETL for data collection, cleansing, processing, storage, and analytics Design, build, and maintain APIs, services, and systems. Innovate and implement tools to enhance internal team efficiency. Architect service structures suitable for Cloud environments like AWS and GCP.

Responsibilities Design, support, maintain, and upgrade highly performant and tested APIs and internal services using tools like Python, Celery, Kubernetes, MySQL, Mongo, and Redis Migrate our platform and solution to support agnostic deployments. Design, vet, build and deploy scalable data pipelines (spanning data ingestion, ETL, and machine learning analytics) Architect test plans in order to implement maintainable code Interact with backend APIs and optimize responsiveness Research and select