Cake 找工作

1. 安全實機佈署： 執行 Azure 雲端環境安全加固，包含 Azure Firewall、WAF、NSG 及 ASG 的規則配置與維運。 2. 身份存取管理： 實務操作 Microsoft Entra ID，佈署條件式存取 (Conditional Access)、多因素驗證 (MFA) 及特權身份管理 (PIM)。 3. 威脅偵測維運： 操作 Microsoft Sentinel (SIEM) 進行日誌收集、KQL 偵測規則撰寫及資安事件排查處理。 4. 雲端合規落實： 運用 Defender for Cloud 進行合規性監控，並根據掃描結果進行實機修復 (Remediation) 與系統硬化。 5. 技術交付與服務： 參與客戶專案技術會議，產出具備專業水平的操作紀錄、變更計畫書及技術建議報告。具備技能：1. 腳本與查詢語言： 熟悉 KQL (Kusto Query Language) 語法，能自定義 Sentinel 監控腳本；具備 PowerShell 或 Azure CLI 自動化維運能力。2. 雲端網路安全： 熟悉 VNet Peering、ExpressRoute 及網路隔離架構之實務配置。3. 弱點管理能力： 具備分析與修復雲端資源組態錯誤 (Misconfiguration) 的實務能力。

蓋亞資訊代理國際雲端服務(GCP、Ａzure、AWS、阿里雲)、雲端WAF/CDN、國際品牌憑證、網域等雲端服務 (1). 雲端服務應用，包含基礎服務操作、專案帳號管理與帳單帳號建立。 (2). 網域(Gandi)申請與憑證(Sectigo)建立作業。 (3). WAF/CDN基礎服務應用與網路狀況排查分析。 (4). G workspace / M365 障礙排除與教育訓練。(5). 其他主管交辦事項。

1. 拜訪既有經銷商，維繫穩定客戶關係。2. 開發潛在客戶，拓展新市場。3. 負責國內外業務接洽及訂單處理。4. 負責產品報價及產品展示，並處理帳款回收相關事宜。5. 負責業務推展，傳達及說明公司各項業務重大訊息、活動及產品。

蓋亞資訊代理國際雲端服務(GCP、Ａzure、AWS、阿里雲)、雲端資訊安全(Imperva)、雲端應用等雲端服務(1). 雲端網路架構規劃，協助客戶導入雲端服務。 (2). 執行客戶POC測試與服務上線。(3). 回應客戶技術的問題，提供產品技術諮詢。(4). 處理客戶障礙問題判斷與異常排除。(5). 網路環境管理及監控，專案管理與文件報告製作。

1. 協助雲端架構規劃及部署 2. 協助提供雲端解決方案與支援服務導入 3. 有雲端產品學習意願與能力, 並能勝任 presales 角色

【工作內容】1. 雲端服務應用，包含基礎服務操作。2. 協助進行 Azure雲端系統操作。3. 協助雲端帳戶資料建置、授權設定與資料維護。4. 每日雲端用量與系統狀態檢查及每月帳單整理。5. 協助整理營運文件、SOP 與系統資料。6. 支援團隊日常行政與營運相關事項。

本職缺為常駐客戶端（5x8 駐點）之資安與雲端維運人員。主要負責客戶 Azure 雲端平台的日常穩定運作，並利用 Microsoft Sentinel 進行第一線的資安事件監控、分析與威脅調查。 工作內容 1. Azure 平台運維管理： 負責客戶 Azure 雲端環境的日常維運、效能監控、資源配置優化及異常排除。 2. Microsoft Sentinel 運維與事件調查： 監控 Sentinel 儀表板，進行資安事件（Incidents）的即時分析與告警初步判定。 (1)負責資安事件調查（Threat Hunting），追蹤攻擊軌跡並協助擬定應變與根治措施。 (2)協助維護、優化 Sentinel 的偵測規則（Analytics rules）與資料搜集（Data connectors）。 3. 駐點維運與客戶服務： 執行週/月度資安與運維報表產製，並向客戶端進行定期匯報。 (1)配合客戶端端點安全、網路安全等政策執行，擔任技術窗口協助解決問題。 (2)視專案需求協助落實資安合規性檢查。

We are seeking a Senior Business Intelligence Developer Technical Solution Lead to join our CIT team in Taiwan. This is a senior hands-on role with significant technical leadership responsibilities. You will own the end-to-end delivery of BI initiatives on our Microsoft Azure stack — designing and building scalable data pipelines in Azure Databricks, developing semantic layers and reports in Power BI, and ensuring our analytics platform is performant, governed, and aligned to business outcomes.You will serve as the primary technical point of contact for stakeholders across business units, translating ambiguous business needs into structured delivery roadmaps. Operating in a bilingual (Chinese/English) global environment, you will also define BI standards, lead code reviews, and mentor team members — helping position the BI function as a trusted strategic partner.Responsibilities:1. Delivery Leadership• Lead multiple concurrent BI initiatives end-to-end, managing scope, milestones, risks, and dependencies• Own the intake and prioritization process — demand management, backlog grooming, sprint/release planning• Coordinate across Data Engineering, Platform, and Security teams to ensure cohesive delivery• Communicate project status, risks, and decisions clearly to stakeholders and leadership in both Chinese and English2. Azure Data Engineering• Design, build, and maintain ELT/ETL pipelines using Azure Databricks (PySpark, Delta Lake)• Architect solutions on Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), and Azure DevOps CI/CD• Implement dimensional modelling, data vault, or medallion architecture patterns appropriate to use-case• Apply performance tuning, query optimisation, and cost governance on cloud data workloads3. Power BI Development Governance• Design and build Power BI semantic layers (datasets/models), reports, and dashboards that tell clear business stories• Establish and enforce Power BI development standards: DAX patterns, data model conventions, UX/design guidelines, row-level security (RLS)• Manage Power BI deployment pipelines (Dev/Test/Prod), workspace governance, and the Premium/Fabric licensing model• Drive user adoption and data literacy through training, documentation, and enablement plans4. Python Analytics Engineering• Develop Python-based transformation scripts, automation workflows, and data quality frameworks• Use Python for exploratory data analysis, data reconciliation, and pipeline testing• Promote software engineering best practices: version control (Git), code review, unit testing, and documentation5. Stakeholder Business Partnership• Work directly with business stakeholders to gather requirements, challenge assumptions, and translate needs into deliverable BI solutions• Establish and maintain a regular stakeholder cadence (steering reviews, demos, adoption tracking)• Frame BI deliverables in terms of measurable business value outcomes; act as a strategic partner, not just a delivery team6. Technical Standards Quality• Define and enforce BI development standards: pipeline patterns, semantic layer conventions, dashboard UX guidelines, and documentation requirements• Own the testing strategy — data validation, reconciliation, regression, and UAT coordination• Define and manage the BI support model: incident triage, SLA definitions, and on-call process

We are seeking a Senior Business Intelligence Developer Technical Solution Lead to join our CIT team in Taiwan. This is a senior hands-on role with significant technical leadership responsibilities. You will own the end-to-end delivery of BI initiatives on our Microsoft Azure stack — designing and building scalable data pipelines in Azure Databricks, developing semantic layers and reports in Power BI, and ensuring our analytics platform is performant, governed, and aligned to business outcomes.You will serve as the primary technical point of contact for stakeholders across business units, translating ambiguous business needs into structured delivery roadmaps. Operating in a bilingual (Chinese/English) global environment, you will also define BI standards, lead code reviews, and mentor team members — helping position the BI function as a trusted strategic partner.Responsibilities:1. Delivery Leadership• Lead multiple concurrent BI initiatives end-to-end, managing scope, milestones, risks, and dependencies• Own the intake and prioritization process — demand management, backlog grooming, sprint/release planning• Coordinate across Data Engineering, Platform, and Security teams to ensure cohesive delivery• Communicate project status, risks, and decisions clearly to stakeholders and leadership in both Chinese and English2. Azure Data Engineering• Design, build, and maintain ELT/ETL pipelines using Azure Databricks (PySpark, Delta Lake)• Architect solutions on Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), and Azure DevOps CI/CD• Implement dimensional modelling, data vault, or medallion architecture patterns appropriate to use-case• Apply performance tuning, query optimisation, and cost governance on cloud data workloads3. Power BI Development Governance• Design and build Power BI semantic layers (datasets/models), reports, and dashboards that tell clear business stories• Establish and enforce Power BI development standards: DAX patterns, data model conventions, UX/design guidelines, row-level security (RLS)• Manage Power BI deployment pipelines (Dev/Test/Prod), workspace governance, and the Premium/Fabric licensing model• Drive user adoption and data literacy through training, documentation, and enablement plans4. Python Analytics Engineering• Develop Python-based transformation scripts, automation workflows, and data quality frameworks• Use Python for exploratory data analysis, data reconciliation, and pipeline testing• Promote software engineering best practices: version control (Git), code review, unit testing, and documentation5. Stakeholder Business Partnership• Work directly with business stakeholders to gather requirements, challenge assumptions, and translate needs into deliverable BI solutions• Establish and maintain a regular stakeholder cadence (steering reviews, demos, adoption tracking)• Frame BI deliverables in terms of measurable business value outcomes; act as a strategic partner, not just a delivery team6. Technical Standards Quality• Define and enforce BI development standards: pipeline patterns, semantic layer conventions, dashboard UX guidelines, and documentation requirements• Own the testing strategy — data validation, reconciliation, regression, and UAT coordination• Define and manage the BI support model: incident triage, SLA definitions, and on-call process

【Company Highlights】提供創新資訊技術解決方案，涵蓋雲端服務、大數據分析與人工智慧，致力於推動企業數位轉型與高效發展。【Responsibilities】規劃、建置與管理 Azure 解決方案架構，協助系統遷移及持續維運。依據專案需求進行系統建置與設定，並撰寫相關 SOP 文件以規範管理流程。監控雲端基礎設施運作，排查問題並提供技術支援。評估並推薦適合業務需求的雲端技術與服務，協助售前規劃與解決方案建議。配合公司專案需求，靈活調整工作內容與進度。製作如規劃建議書及簡報等文件，協助客戶快速導入解決方案。收集市場及客戶需求，提供回饋以支持部門產品開發與設計方向。