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職責 解析遊戲需求 了解產品目標、遊戲規則，設計出對應的開獎邏輯 計算遊戲數值 使用排列組合、機率論與馬可夫鏈，算出遊戲RTP (常用工具：Excel) 撰寫遊戲程式 邏輯地將開獎邏輯轉譯為程式碼 (常用

解析遊戲需求： 了解產品目標、遊戲規則，設計出對應的開獎邏輯 計算遊戲數值： 使用排列組合、機率論與馬可夫鏈，算出遊戲RTP (常用工具：Excel) 撰寫遊戲程式： 邏輯地將開獎邏輯轉譯為程式碼 (常用工具

[主要職務內容] 依據專案需求進行商業理解、數據理解、以及數據準備。 數據品質評估 數據清洗，依ETL (Extract / Transform / Load) 流程，進行資料處理。 數據分析與資訊視覺化工程

1. 熟悉熟Oracle SQL,(PL/SQL)執行資料轉換及驗證。 2.熟练使用DataStage、Informatica等相關開發經驗 3. 配合公司專案需求至客戶端駐點銀行服務。

你是否對挑戰性的資料工程項目充滿熱情？ 我們正在尋找一位優秀的數據工程師，負責參與具有挑戰性的數據項目，幫助定義和領導數據架構、數據質量、數據治理，每天處理、加工和存儲數百萬行

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

【 Backend-end Engineer (Data)】 【 Job Summary】 As a Python Engineer at Mlytics, you will play a pivotal role in designing, developing, and maintaining data solutions that power our data-driven initiatives. Leveraging your expertise in Python programming, database management, and cloud architecture, you will be responsible for building robust data pipelines, optimizing data processes, and developing RESTful APIs to enable seamless data access and integration. Collaborating closely with analysts, f

Are you a creative IT professional with strong technical aptitude who embraces changes and is passionate about data and information? We invite you to join our highly innovative data engineering team which is constantly designing, developing, and delivering high quality solutions for our customers. As a data engineer, you will have opportunities to work in a dynamic and fast-paced environment to collaborate with business functions to design solutions. You will translate business requirements into

We are in search of a Senior Data Engineer to join our team. In this role, you will be responsible for designing and optimizing our data pipelines, with a focus on planning the architecture for user data return from the product end. Responsibilities: Design and manage data pipelines, ensuring high quality and reliability. Take charge of planning the architecture for user data return from the product end. Develop and maintain data processing and ETL pipelines using

At SHOPLINE we are working on very interesting initiatives that would involve using data-mining and machine learning. with the vast amount of data that we currently have and growing exponentially. We will share details during the interview. 【What you'll be doing 】 - Develop, operate, and monitor ETL for data collection, cleansing, processing, storage, and analytics - Responsible for data schema management and db performance tuning - Develop backend APIs and maintain data visualization platform f