【全球智慧製造】資料工程師(Infrastructure)

【全球智慧製造】 你知道Garmin的智慧工廠嗎? 你知道火星上出現過Garmin的產品嗎? 你知道飛行員總是配戴Garmin的手錶上天空嗎? 全球智慧製造服務計畫(GSMS)透過AI、機構、電控、資料科學、IoT、大數據等技術，將智慧製造系統，即時控制與調整全球生產系統，且在地化支援亞洲、美洲、歐洲多個國家 如果你想體驗不同的文化，綻放自己的光芒！ 現在就投遞履歷，讓我們見識你的獨特潛力！ 【Introduction】 Data Engineering Team is part of Garmin's Process Integration Department, we are looking for engineer to join our data infrastructure team. Cooperate with Data Engineer to build, maintain and optimize data platform and data pipeline. Our mission is to drive stability, scalability and efficiency for the PI data ecosystem and build a manufacturing data center in Garmin. 【Responsibilities】 1. Achieve stability of the entire data infrastructure 2. Create monitoring and alerting processes for the data infrastructure team 3. Manage access control to data infrastructure 4. Proven work ability, including implementation, operation and troubleshooting 5. Create automation tasks / self-services / documentations to reduce manual operation tasks 6. Continuously improve and evolve our data platform architecture for future challenges 【Requirements】 1. Skilled in setting up, upgrading, maintaining and monitoring data platform services such as Kafka, Hadoop HDP/CDP/Apache, ElasticSearch, Cassandra, Redis. etc 2. Experience in building up feasible and generic monitoring architecture using solutions like Prometheus/Grafana or zabbix 3. Proficient in Python or Java programming language 4. Familiar with Linux operating system and shell script 5. Hands-on experience with container (Docker composes, Docker swarm or Kubernetes) 【Bonus Points】 1. Familiar with IaC tools (Ansible) and CI/CD pipeline (Gitlab, Jenkins) 2. Experience in deploying data pipeline with NoSQL databases(Cassandra, Elasticsearch or Redis) 3. Knowledgeable in designing monitoring and alerting mechanism for data pipeline