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工作內容 資料庫工程師內容 1. 熟悉資料庫MS SQL Server、MongoDB操作與使用 2. 須熟悉T-SQL語法 3. 有 Stored Procedure 開發經驗 4. 具獨立分析、設計、開發之能力 3. 具資料邏輯處理能力 5. 設計資料鎖定解

Curious about what it’s like to work at the world’s number 1 discovery platform as a Data Engineer in Production IT ? We’re glad you asked! Taboola , the world’s largest content recommendation platform, is hiring a Data Infrastructure Engineer. What are some of the things you do on a day-to-day basis? Determine database structural requirements by analyzing R&D operations, applications, and programming; reviewing objectives with relevant business units; evaluating current systems; Develop databas

Candidate Profile: ● The successful candidate will be a self-driven MySQL DBA with proven experience in large-scale systems ● The candidate will have a deep understanding of MySQL ● The candidate will be following the latest industry trends and be passionate about database administration for large-scale systems Key Responsibilities ● Database / table schemas deployment; Accounts, privileges management ● Monitor and maintain the existing database infrastructure via autoscaling, automated alerts a

1. 擷取、管理、處理數據。 2. 整理龐雜的巨量資料(各產品結構與非結構資料等)，以洞察商機。

1. 進行各類資料串接、爬取，整合及收集內外部資料 2. 資料清理流程維護及優化 3. 資料分析協作與資料模型產出 4. 推薦服務邏輯參數調校與維運

熟悉資料庫之SQL語法指令(PL/SQL或T-SQL)執行資料轉換及驗證。 熟悉資料庫安裝、設定及操作實務經驗1年以上。(Oracle、MS SQL Server、MySQL至少一種) 具備Stored Procedure實務經驗1年以上尤佳。 可獨立或與團隊合作，工作

1. 負責 Mysql、redis、kafka、Elasticsearch 架設、管理、權限控管、維護和架構規劃 ( Replication, Cluster )。 2. 數據庫&SQL效能、容量監控及參數調校，故障與突發異常狀況排除。 3. 設計資料庫備份、高可用及災難復原計劃。 4.協助開發部門

實際參與大型綜合性電商後端資料庫開發 整合多樣化系統，可深度了解更領域的專業知識

【工作能力】 1. 需有一年以上網頁爬蟲經驗 2. 對財經數據有興趣 3. 需有獨立作業能力 【加分項目(非必要)】 1. 熟悉 SQL (MS SQL Server / MySQL 至少一種)、NoSQL 2. 基本的git版本控管流程概念及操作經驗

Roles & Responsibilities: 1. Designing and Optimizing Large Language Models: Develop and fine-tune large language models tailored for specific applications. 2. Collaboration with MLOps Engineer: Work closely with MLOps engineers to prototype custom solutions, ensuring seamless integration with existing systems. 3. AI/ML Modeling Expertise: - Demonstrate hands-on experience in AI/ML modeling, particularly with complex datasets. - Possess a strong understanding of the theoretical foundations of AI