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The Data Platform team enables our customers to ingest and perform real time analytics on critical security insights and intelligence data stored in our vast Data Lake and empower internal engineering teams to leverage the best datastore technology for their needs. Our Big Data technology stack consists of Kafka, Google PubSub, ClickHouse, Google BigQuery etc. We’re looking for software engineers with a background in distributed systems and are excited about the opportunity to work on large-scal

About the role The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products.

iTrust Global Limited is looking for a Bilingual Data Analyst to work on our Development Team. We are seeking a highly skilled and motivated Bilingual Data Analyst to join our innovative software startup in the mental health space. As a Bilingual Data Analyst, you will play a crucial role in supporting the Product Owner in driving the development and success of our mental health software product. You will work closely with the Product Owner, development team, and

What you will be doing: 1. 基於公司AI產品及商業需求，與AI工程師、數據工程師一起建構業務成長指標體系，完善資料歸因體系。 2. 從多種資料來源組合資料進行深度診斷分析，對問題進行深入分析，為

關基礎架構、操作與標準作業流程文件 7.資料庫日誌監控和分析、資料庫系統性能優化 8.資料庫空間監控和管理、資料庫使用者許可權管理 9.資料庫的備份和恢復、存儲管理、平臺資料庫

The Role: We are seeking an exceptionally talented data scientist with strong modeling and programming skills to join our team. In this role, you will work closely with data science team and technologists across the firm to develop appropriate features and metrics for data processing. Perform analysis and generate models of financial datasets using machine learning techniques Process, clean and verify the integrity of unstructured data and turn data into valuable insights Develop and create data

參與公司智能產品架構規劃，規劃產品架構、MVP及產品里程碑。 參與智能應用專案前期架構規劃及實作設計，以確保數據架構無虞。 參與智能應用專案售前，協助架構評估、POC及產品導入評估等。 研究

We, at iPASS, leverage transit and e-payment data to drive our business. Being one of few companies powering Taiwan's main transportation, iPASS is uniquely positioned in the market as the cornerstone of the e-payment ecosystem. Your role is crucial in helping the team investigate the data and provide analytical reports to support business decisions. You will also be instrumental in developing a flexible dashboard or API for third parties. Let's stay excited

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Google welcomes people with disabilities. Minimum qualifications: Bachelor's degree in Engineering, Supply Chain, a similar field, or equivalent practical experience 10 years of experience in Product Lifecycle Management (PLM), Product Data Management (PDM), or a similar role Experience in program management and leading cross-functional projects Experience in engineering change order (ECO) processes Experience in Materials Management (Material Disposition, Materials Requirements Planning, Invent