Cake 找工作

【關於 Pinkoi Data Squad】我們是 Pinkoi 的資料團隊，其目標為打造有效的數據平台，同時確保資料的品質與穩定性，讓資料在 Pinkoi 發揮最大的價值。Data Engineer 將與 Business Analyst／ML Engineer 緊密合作，透過數據探索問題、規劃後續的 Data Pipeline（資料管線） 實作，並提供 End-to-end 的 Data Solution，以擴展公司各部門的數據分析能力，並完善整體商業智慧系統。你需要負責的工作內容與產品、行銷、廣告等分析師與商業團隊合作，理解需求並規劃合適的 Data Pipeline。設計、實作與維護 ETL/ELT 流程，確保資料品質、穩定性與新鮮度。建立與優化資料模型，支援報表、分析與機器學習等多種場景。持續迭代並優化資料基礎建設，提升可擴展性與維運效率。建立監控與告警機制，確保 Pipeline 成功率與資料 SLA。我們希望你有的經驗跟特質對 Big Data 和 Data-driven engineering 有極大的熱情。瞭解 ETL 或 ELT 的流程，並具備 Data Modeling 跟開發 Data Pipeline 的能力。具備與產品 / 行銷團隊合作的經驗，並可與商業分析師、資料工程師，以及機器學習工程師協同合作。樂於學習最新的技術，隨時充實自我的專業技能。對大型語言模型（LLM）保持開放與好奇，願意學習並嘗試將其應用於資料工程工作（如：資料清理、欄位補全、文件生成、自動化測試），以探索新工具如何提升效率與使用者體驗。應徵條件數學 / 統計 / 資訊 / 資料科學相關科系畢業，或具備同等專業能力。一年以上數據分析或數據工程相關工作經驗。熟悉 Python、Scala、Java 等任何一種程式語言，Pinkoi 主要用 Python。熟悉 GNU/Linux 系統，Pinkoi 用 Ubuntu。熟悉關聯式資料庫的運用，例如 MySQL。加分條件熟悉廣告歸因邏輯，或具備相關數據處理經驗。具備使用者行為數據處理經驗。具有操作或架設 BI 工具的相關經驗。如 Superset、Tableau、Looker Studio，Pinkoi 使用 Superset 和 Redash。具有分散式運算的相關知識，例如 Spark、Hadoop、Hive 等一種或多種相關技術，Pinkoi 主要用 PySpark。熟悉雲端服務，例如 AWS Athena、S3、Glue，GCP BigQuery 等，Pinkoi 主要用 AWS。了解 dbt 的基礎架構和應用方式，如建立資料模型、撰寫測試、建立巨集等等。有將 LLM 應用於資料工程場景的經驗，例如規則抽取、欄位對齊與補全、文件／Data Catalog 生成、資料品質檢查等。＃不用想了，趕快來當個 Pinkoi 人如果你有信心能夠勝任這份工作，歡迎提供你的個人履歷與小作業，即刻應徵！

【公司描述】 我們是一家全球領先的數字資產交易與支付科技公司，致力於打造安全、高效的金融基礎設施。 目前，我們正在尋找資深數據工程師，負責獎勵與財務數據項目的開發與優化，與國際團隊合作，打造高效且可擴展的數據平台。 【Company Overview】 A global leader in digital asset exchange and payment technology, committed to building secure and efficient financial infrastructure. The company is now hiring a Senior Data Engineer to drive development and optimization of data systems for rewards and financial operations. This role involves close collaboration with international teams to build scalable and reliable data platforms. 【職位亮點】 ✅ 年薪 USD $60,000–80,000，具競爭力的薪資與成長空間 ✅ 國際化團隊，與全球頂尖技術專家合作 ✅ 參與高併發、即時數據處理專案，發展大規模數據基礎設施 【Role Highlights】 ✅ Competitive salary (USD $60K–80K) with strong career growth ✅ Join a global team and work with top engineers from around the world ✅ Build high-throughput, real-time data infrastructure at scale 【職位職責】 🔹 數據平台與管道開發：設計與維護穩定高效的數據架構 🔹 數據倉儲建置與優化：支援離線與即時數據的儲存與檢索 🔹 大數據處理與轉換：使用 Hadoop、Spark、Flink 等技術 🔹 跨部門協作：與財務、獎勵、技術團隊合作，提供數據解決方案 【Responsibilities】 🔹 Design and maintain stable, high-performance data platforms and pipelines 🔹 Develop and optimize offline and real-time data warehouses 🔹 Process and transform large data sets using Hadoop, Spark, or Flink 🔹 Collaborate cross-functionally with Finance, Rewards, and Engineering teams to deliver data-driven solutions 【職位要求】 ✔ 3–8 年數據平台或數據工程經驗 ✔ 精通 Hadoop、Spark、Flink 等大數據工具 ✔ 熟悉 Python / Scala / Java 至少一種程式語言 ✔ 熟悉數據倉儲與 ETL（離線與即時）開發經驗 ✔ 有 Airflow 經驗者佳 ✔ 英文流利，能與國際團隊順利溝通 【Requirements】 ✔ 3–8 years of experience in data platform or pipeline engineering ✔ Proficient in big data tools: Hadoop, Spark, Flink ✔ Strong programming skills in at least one of: Python, Scala, or Java ✔ Solid understanding of data warehousing and ETL (offline real-time) ✔ Experience with Airflow is a plus ✔ Fluent in English with strong communication skills for working across global teams---------------------------------------------------------------------- 若您對此職位感興趣，請立即聯繫，讓我為您介紹更多詳細資訊！ ▶︎ 聯繫人：招募顧問 Owen Wu▶︎ LINE： https://line.me/ti/p/ICjS8Jx0Dq▶︎ LinkedIn： https://www.linkedin.com/in/owen-wu-1023a41a4/

What this role owns: Hands-on security for mobile apps and web services. You run penetration tests, review source code, build threat models, and produce actionable fixes that engineers can implement. You also create standards, automate tests in CI, and run training for engineering teams. Mô tả công việcKey ResponsibilitiesPerform penetration tests for mobile and web applications.Review code to identify security vulnerabilities and recommend fixes.Develop threat models for new features and workflows.Analyze application flows and identify attack vectors (tampering, hooking, jailbreak/root bypass, emulator detection, etc.).Research emerging vulnerabilities, exploit techniques, and tools.Document findings and deliver clear remediation guidance to engineering teams.Support post-incident analysis and root-cause reviews.Build internal security guidelines and secure coding standards.Train engineering teams on security best practices and secure SDLC.Yêu cầu công việcRequirementsBachelor's degree in Information Security, Computer Science, or related field.Proven experience in application penetration testing (mobile + web).Practical source code review experience and secure coding knowledge.Hands-on experience with testing frameworks such as the PTES and OWASPIn-depth knowledge of application development processes and at least one programming or scripting language (e.g., Java, Scala, C#, Ruby, Perl, Python, PowerShell)Passion to learn and explore.PreferredExperience with exploit development, vulnerability research or fuzzing.Fintech or payment industry security experience.

Job Definition Design and implementation of software functions following the agreed design patterns in an agile environmentFront- and backend DevelopmentPerforming code reviews and assistance with the further development of the continuous integration environment

Get to Know our Team​In Agoda’s Back-End Engineering department, we build scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. We employ state-of-the-art CI/CD and testing techniques to ensure everything works without downtime. Our systems are self-healing, responding gracefully to extreme loads or unexpected input. We use modern languages like Kotlin and Scala, Data technologies Kafka, Spark, MLflow, Kubeflow, VastStorage, StarRocks and agile development practices. Most importantly, we hire great people from around the world and empower them to be successful.​ ​The Opportunity​Agoda Platform team is looking for developers to work on mission-critical systems that serve millions of users daily. You will have the chance to work on innovative projects, using cutting-edge technologies, and make a significant impact on our business and the travel industry.​ Engineering Culture at Agoda TechOur engineering team works on cutting-edge technologies and innovative engineering culture to ensure we create a seamless user experience. We now serve over a million customers daily, offering the best deals on our inventory of 4M+ properties! Our users love us with a rating of 4.6/4.7 and have been awarded the Editor’s Choice in the Google Play store.At Agoda, we emphasize data-driven & agile development approaches. We believe technical excellence is the core agility across the company, which is why we continuously invest in the best engineering practices.

🏢 公司介紹 我們的客戶是台灣最具規模與影響力的零售集團龍頭，積極拓展多元化的電商平台生態系。作為台灣零售業的標竿企業，該公司持續引領產業創新，近年積極推動全面數位轉型，整合線上線下（O2O）資源，打造台灣最大規模的全通路零售平台。 為什麼加入我們？ 產業領導地位：台灣零售業龍頭，擁有穩健發展基礎與龐大數據資產 數位轉型先鋒：目前正全力投入集團電商整合與數位化升級，是參與零售科技革命的絕佳時機 絕佳職涯發展：在數位經濟時代，您的專業能力將直接對數百萬消費者與企業營收產生顯著影響 💼 工作內容 作為資深數據科學家，您將在集團客戶數據平台(CDP)團隊擔任核心角色，負責整合、分析並應用來自集團旗下多個電商平台與實體門市的海量消費者數據，打造AI驅動的個人化體驗，提升客戶忠誠度與營收。 核心職責： CDP與數據策略規劃 設計前瞻性的CDP資料模型，無縫整合來自網站、APP、社群與實體門市等多元數據源 建立驅動行銷自動化的數據架構，連結消費者全旅程體驗 定義關鍵績效指標(KPI)與目標(OKR)，運用因果推斷建立用戶生命週期策略 確保跨平台數據一致性與品質，支援集團決策 AI模型與演算法開發 開發基於Transformer架構或圖神經網絡(GNN)的先進推薦系統 建立用戶分群、流失預測、終身價值(LTV)評估等關鍵模型 使用LightGBM、PyTorch等工具持續迭代優化模型效能與準確度 透過MLflow追蹤實驗結果，確保模型可擴展與可重現性 實驗設計與業務優化 規劃A/B測試或多臂老虎機(MAB)實驗，科學驗證行銷策略與產品功能有效性 深入分析實驗結果，持續迭代數據模型與演算法 以數據驅動方式提升用戶留存率、轉換率與整體營收 技術領導與跨部門協作 與工程團隊合作，透過Kubeflow優化MLOps流程，實現模型部署自動化 與行銷、產品、業務團隊密切協作，推動數據驅動的創新專案 向高階管理層展示AI演算法對業務的量化影響，有效推動決策 確保資料模型符合GDPR等國際隱私標準，強化數據安全與用戶隱私保護 💻 使用技術 您將有機會使用和精進以下尖端技術： 程式語言：Python、Java、Scala 大數據處理：Apache Spark、Apache Kafka、Airflow 數據存儲：Snowflake、Delta Lake、BigQuery 機器學習：PyTorch、LightGBM、Transformer架構、圖神經網絡(GNN) MLOps：MLflow、Kubeflow、Docker、Kubernetes 雲端服務：AWS、GCP、Azure CDP工具：企業級客戶數據平台架構與整合工具

🏢 公司介紹 我們的客戶是台灣最具規模與影響力的零售集團龍頭，積極拓展多元化的電商平台生態系。作為台灣零售業的標竿企業，該公司持續引領產業創新，近年積極推動全面數位轉型，整合線上線下（O2O）資源，打造台灣最大規模的全通路零售平台。 為什麼加入我們？ 產業領導地位：台灣零售業龍頭，擁有穩健發展基礎與龐大數據資產 數位轉型先鋒：目前正全力投入集團電商整合與數位化升級，是參與零售科技革命的絕佳時機 絕佳職涯發展：在數位經濟時代，您的專業能力將直接對數百萬消費者與企業營收產生顯著影響 【工作內容】 你將成為企業數據基礎架構的核心工程師，協助打造能支撐數百萬筆用戶行為與交易資料的即時數據平台： CDP 數據架構設計：規劃資料模型、整合多元來源，提升行銷科技自動化能力 即時與批次資料處理：使用 Kafka、Flink 建構流處理系統；以 Airflow 調度高效批次流程 數據湖與查詢效能：應用 Delta Lake、Snowflake 提升查詢速度與資料整合效率 資料品質與監控：導入 data observability，確保資料一致性與可追蹤性 跨部門合作與技術領導：與行銷、產品、資料科學團隊密切合作，支援 MLOps 與模型部署 資料合規與治理：設計符合 GDPR、CCPA 的資料管理機制，落實企業資料安全策略 【使用技術】 程式語言：Python / Java / Scala 即時處理：Apache Kafka、Apache Flink 批次處理與排程：Apache Airflow 數據平台：Snowflake、Delta Lake、BigQuery 雲端平台：AWS / GCP / Azure 其他：Databricks、Kubernetes、Docker、CI/CD、MLOps

Introduction We are seeking a skilled and visionary Data Scientist to join our team, driving data-driven insights and transformative AI/ML solutions. In this role, you will analyze and interpret complex data to uncover valuable patterns, solve intricate business challenges, and create predictive models that deliver measurable impact. Leveraging cutting-edge AI tools, machine learning, and deep learning techniques, you will design, develop, and deploy scalable applications on cloud infrastructure. Beyond technical expertise, you will collaborate closely with clients and cross-functional teams to align AI solutions with strategic business objectives, ensuring that data-driven insights translate into actionable recommendations. If you are passionate about harnessing the power of data to shape innovative solutions and possess strong consulting capabilities, we invite you to join our dynamic and collaborative environment. Your role and responsibilities Data Scientists analyze and interpret data to uncover insights, identify patterns, and solve complex business problems. You will work with structured, unstructured, and streaming data, leveraging AI tools, machine learning, and deep learning techniques to develop predictive models and data-driven solutions. Utilizing cloud infrastructure and advanced analytics, you will design, develop, and deploy scalable AI/ML applications. Additionally, you will collaborate closely with clients, internal teams, and cross-functional stakeholders to ensure that AI solutions align with business objectives and deliver measurable impact. This role requires both strong technical expertise and consulting capabilities, ensuring AI-driven insights translate into strategic recommendations. Specifically, you will: l Lead the design, development, and deployment of end-to-end AI/ML solutions, ensuring strategic alignment with client business needs l Define best practices for AI/ML architectures, model governance, and MLOps pipelines l Provide thought leadership, guiding internal teams and clients on AI-driven strategy, implementation, and measurable business impact l Develop predictive models in Python using AI libraries such as TensorFlow, PyTorch, or other cutting-edge open-source frameworks l Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants, and database administrators from diverse backgrounds l Lead teams in data cleansing, integration, and reusable AI solution development based on client needs l Communicate technical results and insights effectively to both technical and non-technical stakeholders Required educationMaster's DegreePreferred educationDoctorate DegreeRequired technical and professional expertise l Thrive on teamwork with excellent verbal and written communication skills, effectively translating complex technical concepts into meaningful business insights l Strong mathematical and computer science foundation, including algorithms, statistics, probability, and linear algebra, with a focus on AI/ML applications l Hands-on experience in machine learning, deep learning, NLP, or LLM l Proficiency in programming languages such as Python, R, or Scala, and experience with AI frameworks like TensorFlow or PyTorch. l Strong problem-solving skills and the ability to work in a fast-paced, client-driven environment Preferred technical and professional experience l Experience with MLOps, CI/CD pipelines, model monitoring, and cloud-based AI/ML solutions l Knowledge of AutoML, optimization techniques, and large-scale distributed machine learning l Background in business consulting, with a strong ability to influence decision-making through AI-driven insights l Proven ability to mentor junior data scientists and lead cross-functional teams l Expertise in data engineering, including SQL, Spark, Hadoop, and cloud-based data pipelines l Proficiency in spoken and written English