創智動能股份有限公司

【Job Responsibilities】 1.開拓經銷通路 Develop and expand distribution channels 2.經銷商關係經營與維護，定期更新公司及產品資訊 Manage and maintain relationships with distributors, regularly updating them on company and product information 3.客戶需求分析與專案規劃 Analyze customer needs and plan projects 4.市場動態分析，掌握潛在商機擬定銷售計畫 Analyze market trends, identify potential business opportunities, and create sales plans 5.與各部門協作達成個人及團隊銷售目標 Collaborate with various departments to achieve individual and team sales targets 【Nice to have】 • 獨立作業及解決問題之能力 Ability to work independently and solve problems • 分析與評估之能力 Strong analytical and evaluation skills • 溝通與協調之能力 Excellent communication and coordination abilities • 積極主動與企圖心 Proactive and driven with a strong ambition • 具備雲端服務相關知識或證照尤佳 Knowledge of cloud services or relevant certifications is a plus

【Job Responsibilities】 我們正在尋找一位經驗豐富、充滿熱忱的數據工程經理，加入我們的技術領導團隊。您將負責領導並擴展我們位於台灣與海外的數據工程團隊，打造高效能、可擴展的數據解決方案，推動客戶專案成功與公司數據策略落地。 這是一個絕佳的機會，讓您在快速成長的技術環境中發揮領導影響力，並對組織的數據能力產生深遠影響。 主要職責： 1. 團隊領導與賦能 (Team Leadership & Empowerment) 　負責台灣及海外數據工程團隊的招募、組建、指導與培育，打造高績效的技術團隊。 　設定清晰的團隊願景與成員發展目標，進行定期績效回饋與成長規劃。 　提供培訓資源與技能發展機會，營造持續學習與知識共享的團隊文化。 　管理團隊資源與工作流程，提升整體營運效率與交付穩定性。 ２.專案交付與技術卓越 (Project Delivery & Technical Excellence) 　與解決方案架構師協作，理解客戶業務需求並主導數據架構設計。 　規劃專案資源，進行技術選型，導入適合的數據平台與工具。 　預見並處理潛在技術風險，主導專案品質與交付節奏。 　確保專案準時、符預算並達成高品質標準完成。 3.策略協作與組織發展 (Strategic Collaboration & Organizational Growth) 　協助制定與執行公司數據策略，確保團隊技術發展與公司目標一致。 　促進與產品、銷售、數據科學等跨部門有效協作。 　作為技術代表，與內外部利益關係人建立穩固關係，溝通協調需求與目標。 • 技能： 　5 年以上數據工程或數據架構經驗，其中至少 2 年以上團隊管理或技術領導經驗。 　精通 AWS 雲端平台及其核心數據服務（如 Glue, Redshift, EMR, Kinesis, Lambda, 　　　　　　　　　　　　　　SageMaker）。 　深入理解資料管道設計與維運，熟悉至少一種數據編排工具（如 Apache Airflow）。 　理解機器學習基本概念與 MLOps 流程。 　精通 SQL，熟悉數據倉儲、資料湖設計與實作。 　良好的英文溝通能力，能在國際團隊中有效協作。 　優秀的領導力、協作力、分析與解決問題能力。 • 加分條件 　熟悉 GCP（如 BigQuery, Dataflow）或 Azure（如 Azure Data Factory, Synapse Analytics）數據平台。 　有實戰經驗於 CI/CD、自動化部署、Docker、Kubernetes 等 DevOps 工具。 　熟悉商業智慧工具如 Tableau, Power BI, Looker 等。 　管理遠端或跨國團隊經驗。

1.應收應付帳務處理 Handling accounts receivable and accounts payable transactions. 2.稅務申報工作 Tax filing and reporting tasks. 3.配合會計師查帳作業及國稅局函文處理。 Assisting with audits conducted by accountants and handling correspondence with the Tax Bureau. 4.會計憑證覆核及控管、結帳及財務報表定期編製。 Assisting with audits conducted by accountants and handling correspondence with the Tax Bureau. 5.固定資產編製，預算編製及管理。 Preparing and managing fixed assets, as well as budgeting. 6.發票開立及網銀處理。 Issuing invoices and managing online banking operations. 7.提出各項作業流程改善建議。 Providing suggestions for process improvements. 8.規劃各項專案與執行。 Planning and executing various projects. 9.協助主管完成交辦事項。 Assisting the supervisor with assigned tasks.

【Job Responsibilities】 1.與企業客戶合作，了解其業務需求並制定 AI 訓練計劃 Collaborate with business clients to understand their needs and develop AI training plans 2.協助客戶訓練和調整 AI 員工，使其符合企業運營需求 Assist clients in training and fine-tuning AI employees to align with business operations 3.提供 AI 訓練最佳實踐，確保 AI 員工的準確性與效能 Provide AI training best practices to ensure accuracy and efficiency of AI employees 4.分析 AI 運作情況，提供改進建議與定期報告 Analyze AI performance and provide improvement recommendations with periodic reports 5.指導客戶如何使用 AI 訓練工具與功能，確保其有效應用於企業場景 Guide clients on using AI training tools and features to ensure effective business application 6.與技術團隊合作，反饋客戶需求以優化 AI 訓練流程 Work with the technical team to provide client feedback for AI training process optimization 7.追蹤 AI 技術趨勢，確保客戶掌握最新 AI 訓練方法 Keep track of AI technology trends to ensure clients adopt the latest AI training methods.

【Job Responsibilities】 1.開拓經銷通路 Develop and expand distribution channels 2.經銷商關係經營與維護，定期更新公司及產品資訊 Manage and maintain relationships with distributors, regularly updating them on company and product information 3.客戶需求分析與專案規劃 Analyze customer needs and plan projects 4.市場動態分析，掌握潛在商機擬定銷售計畫 Analyze market trends, identify potential business opportunities, and create sales plans 5.與各部門協作達成個人及團隊銷售目標 Collaborate with various departments to achieve individual and team sales targets 【Nice to have】 • 獨立作業及解決問題之能力 Ability to work independently and solve problems • 分析與評估之能力 Strong analytical and evaluation skills • 溝通與協調之能力 Excellent communication and coordination abilities • 積極主動與企圖心 Proactive and driven with a strong ambition • 具備雲端服務相關知識或證照尤佳 Knowledge of cloud services or relevant certifications is a plus

【Job Responsibilities】 1.市場拓展與潛在商機發掘 Market expansion and potential business opportunity exploration 2.客戶關係經營與維護 Customer relationship management and maintenance 3.銷售策略規劃與執行 Sales strategy planning and execution 4.業績數據分析與報告 Performance data analysis and reporting 4.團隊管理與培訓 Team management and training 5.跨部門協作與資源整合 Cross-department collaboration and resource integration 【Nice to have】 • 獨立解決問題與快速應變能力 Ability to solve problems independently and respond quickly • 分析與評估之能力 Analytical and evaluation skills • 溝通與協調之能力 Communication and coordination abilities • 銷售策略與執行能力 Sales strategy and execution capabilities • 熟悉雲端服務與相關知識 Familiarity with cloud services and related knowledge • 領導與管理能力 Leadership and management skills

【Job Responsibilities】 1. 專案開發與交付 設計、建置並實作具擴展性的 AWS 數據管道與基礎架構。 與跨部門團隊合作，理解專案需求並確保順利交付。 Develop and Deliver Projects Design, build, and implement scalable data pipelines and infrastructure on AWS. Collaborate with cross-functional teams to understand project requirements and ensure successful delivery. 2. 專案支援 針對專案相關問題進行故障排除，確保系統穩定性與效能。 採用最佳實務，並提出創新解決方案以滿足客戶需求。 Project Troubleshooting and Support Troubleshoot project-related issues to ensure system stability and performance. Implement best practices and propose innovative solutions to meet client needs. 3. 數據轉換與整合 設計與實作數據轉換流程（ETL/ELT），將多來源的數據整合至數據倉儲或資料湖。 確保數據準確性與一致性，並優化數據處理效能。 Data Transformation and Integration Design and implement data transformation processes (ETL/ELT) to integrate data from multiple sources into data warehouses or data lakes. Ensure data accuracy and consistency while optimizing data processing performance. 4. 數據監控與報表設計 使用 Tableau 或 Grafana 設計並維護即時監控儀表板，提供可操作的數據洞察。 Data Monitoring and Dashboard Design Design and maintain real-time monitoring dashboards using Tableau or Grafana to provide actionable data insights. 5. 自動化與流程優化 使用Airflow開發自動化流程，優化現有數據管道與基礎設施。 Automation and Process Optimization Develop automated workflows using Airflow to streamline and optimize existing data pipelines and infrastructure. 【What We’re Looking For】 • 經驗：具備作為 Data Engineer 的相關經驗，尤其是 AWS 服務與工具的實務操作經驗 Experience: Proven experience as a Data Engineer, with hands-on experience in AWS services and tools. • 技能： 優秀的問題解決與故障排除能力。 熟練使用 Python、SQL 及相關數據工程工具。 具備良好的溝通與協作能力，能有效與多元團隊及客戶合作。 Skills: Strong problem-solving and troubleshooting abilities. Proficiency in Python, SQL, and data engineering tools. Excellent communication and collaboration skills to work effectively with diverse teams and clients. • 加分條件 取得 AWS 認證（如 AWS Certified Data Engineer Associate、AWS Certified Solutions Architect）。 具備 GCP 和 Azure 雲端平台的相關經驗。 熟悉 Tableau 和 Grafana 等商業智能與警報工具。 Bonus Points AWS certifications (e.g., AWS Certified Data Engineer Associate, AWS Certified Solutions Architect). Experience with GCP and Azure cloud platforms. Familiarity with BI and alerting tools like Tableau and Grafana.

【Job Responsibilities】 1.市場拓展與潛在商機發掘 Market expansion and potential business opportunity exploration 2.客戶關係經營與維護 Customer relationship management and maintenance 3.銷售策略規劃與執行 Sales strategy planning and execution 4.業績數據分析與報告 Performance data analysis and reporting 4.團隊管理與培訓 Team management and training 5.跨部門協作與資源整合 Cross-department collaboration and resource integration 【Nice to have】 • 獨立解決問題與快速應變能力 Ability to solve problems independently and respond quickly • 分析與評估之能力 Analytical and evaluation skills • 溝通與協調之能力 Communication and coordination abilities • 銷售策略與執行能力 Sales strategy and execution capabilities • 熟悉雲端服務與相關知識 Familiarity with cloud services and related knowledge • 領導與管理能力 Leadership and management skills

【Job Responsibilities】 1.開拓經銷通路 Develop and expand distribution channels 2.經銷商關係經營與維護，定期更新公司及產品資訊 Manage and maintain relationships with distributors, regularly updating them on company and product information 3.客戶需求分析與專案規劃 Analyze customer needs and plan projects 4.市場動態分析，掌握潛在商機擬定銷售計畫 Analyze market trends, identify potential business opportunities, and create sales plans 5.與各部門協作達成個人及團隊銷售目標 Collaborate with various departments to achieve individual and team sales targets 【Nice to have】 • 獨立作業及解決問題之能力 Ability to work independently and solve problems • 分析與評估之能力 Strong analytical and evaluation skills • 溝通與協調之能力 Excellent communication and coordination abilities • 積極主動與企圖心 Proactive and driven with a strong ambition • 具備雲端服務相關知識或證照尤佳 Knowledge of cloud services or relevant certifications is a plus

【Job Responsibilities】 1. 專案開發與交付 設計、建置並實作具擴展性的 AWS 數據管道與基礎架構。 與跨部門團隊合作，理解專案需求並確保順利交付。 Develop and Deliver Projects Design, build, and implement scalable data pipelines and infrastructure on AWS. Collaborate with cross-functional teams to understand project requirements and ensure successful delivery. 2. 專案支援 針對專案相關問題進行故障排除，確保系統穩定性與效能。 採用最佳實務，並提出創新解決方案以滿足客戶需求。 Project Troubleshooting and Support Troubleshoot project-related issues to ensure system stability and performance. Implement best practices and propose innovative solutions to meet client needs. 3. 數據轉換與整合 設計與實作數據轉換流程（ETL/ELT），將多來源的數據整合至數據倉儲或資料湖。 確保數據準確性與一致性，並優化數據處理效能。 Data Transformation and Integration Design and implement data transformation processes (ETL/ELT) to integrate data from multiple sources into data warehouses or data lakes. Ensure data accuracy and consistency while optimizing data processing performance. 4. 數據監控與報表設計 使用 Tableau 或 Grafana 設計並維護即時監控儀表板，提供可操作的數據洞察。 Data Monitoring and Dashboard Design Design and maintain real-time monitoring dashboards using Tableau or Grafana to provide actionable data insights. 5. 自動化與流程優化 使用Airflow開發自動化流程，優化現有數據管道與基礎設施。 Automation and Process Optimization Develop automated workflows using Airflow to streamline and optimize existing data pipelines and infrastructure. 【What We’re Looking For】 • 經驗：具備作為 Data Engineer 的相關經驗，尤其是 AWS 服務與工具的實務操作經驗 Experience: Proven experience as a Data Engineer, with hands-on experience in AWS services and tools. • 技能： 優秀的問題解決與故障排除能力。 熟練使用 Python、SQL 及相關數據工程工具。 具備良好的溝通與協作能力，能有效與多元團隊及客戶合作。 Skills: Strong problem-solving and troubleshooting abilities. Proficiency in Python, SQL, and data engineering tools. Excellent communication and collaboration skills to work effectively with diverse teams and clients. • 加分條件 取得 AWS 認證（如 AWS Certified Data Engineer Associate、AWS Certified Solutions Architect）。 具備 GCP 和 Azure 雲端平台的相關經驗。 熟悉 Tableau 和 Grafana 等商業智能與警報工具。 Bonus Points AWS certifications (e.g., AWS Certified Data Engineer Associate, AWS Certified Solutions Architect). Experience with GCP and Azure cloud platforms. Familiarity with BI and alerting tools like Tableau and Grafana.