轉職熱搜工作

1.負責SAP HANA Infra系統安裝，硬體建置，架構規劃與系統管理。 2.負責SAP Infra日常運行維護工作，問題排除與技術支援。 3.負責SAP Infra分析與系統最佳化。 4.負責客戶系統問題解決與技術諮詢。

【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. Maintain High Availability: Ensure the stability and uptime of the data platform by continuously optimizing monitoring and alerting processes. 2. Platform Administration: Manage and optimize Dremio Data Lakehouse engine to drive performance tuning and resource management. 3. Data Governance & Security: Enhance data security and auditability by implementing robust Access Control Lists (ACL) and managing comprehensive service audit logs. 4. Service Reliability & Operations: Participate in on-call rotations to handle data service anomalies following established SOPs. 5. Architectural Evolution: Research and integrate new technologies to continuously evolve the data platform architecture for future scalability and challenges. 【Requirements】 1. Problem-Solving Skills: Ability to perform deep-dive root cause analysis and resolve complex technical issues through a logical, step-by-step approach. 2. Data Infrastructure & Storage: Extensive experience in managing and maintaining NoSQL/Messaging services (Hadoop, Kafka, Elasticsearch, MQTT, Redis) / Object Storage (S3, MinIO) or RDB (PostgreSQL, MySQL, MSSQL, Oracle) 3. Advanced Monitoring: Experience in building and managing monitoring frameworks for data pipelines or database services using Prometheus/Grafana or Zabbix 4. Programming Language: Proficiency in Python; familiarity with Linux operating systems and shell scripting. 5. Containerization: Hands-on experience with container technologies (Docker Compose, Docker Swarm, or Kubernetes). 6. English Communication: Good verbal and written communication skills in English; comfortable conducting technical discussions with service support and participating in meetings with overseas colleagues. 【Bonus Points】 1. Data Lakehouse Platforms: Familiarity with Dremio, Denodo, Snowflake, or Databricks for data virtualization or distributed SQL execution. 2. Incident Management: Prior experience with on-call (on-duty) rotations or familiarity with incident management tools such as PagerDuty. 3. Kubernetes Proficiency: Experience deploying or managing services on Kubernetes, with a specific understanding of the challenges of Database Containerization. 4. Infrastructure as Code (IaC): Familiarity with IaC tools (e.g., Ansible) to automate data platform deployments. 5. AI Integration: Practical experience in AI Agents or LLM-based workflows.

1.負責MES系統使用者端需求訪談及程式開發 2.負責IOT整合 3.負責網頁和WINFORM 系統開發 4.操作資料庫、進行資料API抛接 5.其他交辦事項

1.使用 Flutter 開發 App (iOS、Android、Windows、macOS)。 2.依據需求完成需求分析、設計、開發、測試，並於時程內完成交付。 3.與團隊成員積極溝通並配合專案規劃執行 App 開發、維運及優化。 4.維運現有的 App，並持續優化改善使用者體驗。 5.主管交辦事項。 6.日本東京本地株式會社直招，可辦理高度人才在留資格，可攜配偶及子女一起常住日本，享受各種日本國民福利。

1.使用ROS/ROS2平台進行機器人系統構建構、感測器整合與功能模組開發等。 2.機器人控制演算法開發；應用於運動控制、自主穩定策略、機器人路徑規劃與觸覺反饋控制等。 3.參與跨領域研發專案，與團隊密切合作，推動機器人實現。

為依據工地工程所需繪製施工圖、修改工程設計圖或竣工圖，並檢視相關資料及圖面整合進行必要修正。 需熟AUTOCAD製圖軟體。 (本公司建造案以科技及一般工業廠房為主，有相關經驗者尤佳) 工作待遇為無經驗者之起薪。 有經驗者薪另議。

1. 案件設計規劃與時程管理。 2. 依客戶需求，與客戶討論進行電路繪製。 3. 整合溝通安排ST、PCB Layout進行與模擬。 4. BOM表料件申請與料件時程掌控。 5. 協助設計異常案件原因分析與debug。