Cake 找工作

[本職缺僅接受104網站投遞] 請至統一超商104招募頁面投遞個人履歷表，路徑指引:https://www.104.com.tw/job/8p2a1?jobsource=google【工作內容】1. 設計資料模型與數據建模轉化 (Data Modeling)：主導 數據架構規劃與 Medallion 模型設計，定義企業級 Golden Table 規範，確保模型具備高度擴展性以支援 AI/ML 應用。2. BI 報表與儀表板開發：根據專案需求，在 Databricks 上以 Python / SQL 建置視覺化儀表板，並主動優化報表讀取效能。3. CDP 數據維護：主導 CDP 核心邏輯設計，包含用戶 ID Mapping、行為標籤化及多通路歸因邏輯，建構單一用戶視角 (Single Customer View)。4. 數據品質監控：維護數據管道 (Pipeline) 的日常運作，執行數據驗證，確保報表數據一致性。5. 跨部門協作／角色：參與業務需求討論，將「商業問題」轉化為「數據需求」，並協助資料科學家準備模型訓練所需的特徵資料。6. 推動資料治理：制定並推動資料治理政策與標準，進行元數據管理/權限設計/血緣管理，確保資料資產的管理做法符合最佳實踐。【專業能力】【Required】1. Python：能運用物件導向 (OOP) 與 Functional Programming 設計模式編寫具備可擴展性、易於維護且可測試 (Testable) 的程式碼。2. SQL：熟悉 Join 邏輯、Window Functions 以及效能調優。3. 數據模型經驗：具備 Data Modeling (Star Schema / Snowflake Schema) 實務設計經驗。4. Databricks / Spark 實務：Databricks 平台操作與實務經驗，能在 Notebook 或 Workflows 中管理資料流程，並深度理解資料分層（Bronze/Silver/Gold）的意義，能根據資料成熟度將資料放置在正確的資料分層，並從中運用 PySpark 或 Spark SQL 處理大規模資料轉換。5. 自動化調度：具備至少一種 排程編排工具（Databricks Workflows 或 Airflow）的基礎經驗，能編排並優化複雜的任務排程。6. 視覺化工具：具備至少一種 BI 工具經驗（Databricks Dashboard / Power BI / Tableau / Looker），具備基礎的視覺化設計美感，知道如何清楚呈現 KPI。【加分條件】【Nice to have】1. 零售或電商領域知識：了解零售／電商常見指標（如：AOV、轉化率、歸因模型）。2. 數據管理經驗：曾接觸元數據管理與數據治理相關經驗。3. 雲端經驗：具備至少一種 AWS / GCP / Azure 雲端平台操作基礎。4. CICD：具備 Databricks Asset Bundle / GitHub Actions 經驗，能將數據管道的部署自動化，並導入數據品質監控。▲uniopen團隊在做什麼?https://blog.104.com.tw/the-innovative-integration-of-the-uniopen-team/

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in product management or related technical role. 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, 0 to 1, etc). Experience developing or launching products or technologies within databases, analytics, big data, or a related area. Experience in Apache Spark for data processing. Preferred qualifications: Experience driving product goal, go-to-market strategy, and design discussions. Experience working on developer tools or open source projects. Experience with data analytics tools (Hadoop, Spark), project involvement, and committership. Ability to drive results in collaborative, cross-functional environments with minimal oversight. About the jobAt Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. In this role, you will be responsible for Google Cloud Platform (GCP) Data Analytics' big data analytics portfolio for Spark and other open source components in Dataproc and Serverless Spark.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Drive the new set of innovation and growth powering Open Source Analytics at scale on Google Cloud. Work closely with customers, field and partners to address unmet need. Partner with business development and GTM teams to build growth strategies. Partner with engineering, research and key stakeholder teams to align roadmap and Objectives and Key Results (OKRs). Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Data Director 帶領資料應用部，包含資料分析團隊與資料工程團隊，需兼具資料工程底層能力與分析決策能力，以建立 Data Platform基礎，使公司邁向更穩定的資料基礎建設與數據驅動成長。你將負責公司級資料平台、治理與分析應用，能深入工程細節、推動資料架構優化，同時協助業務端以數據做決策。【主要職責】1. 資料平台與架構-規劃並維護 Data Lake / DWH / ETL / Streaming。-與工程/架構團隊協作，確保資料系統高可用、可擴展。-評估資料流、schema、事件系統並提出最佳化方案。2. 資料工程與管線管理-監督資料清洗、轉換、整合流程，確保品質與效能。-熟悉 Spark、Kafka、Airflow 等技術，能審視設計合理性。-建立 Data Ops 機制（pipeline 監控、版本控制、CI/CD）。3. 資料分析與決策支持-建立指標、儀表板、BI 工具，支援產品/營運/行銷決策。-推動 A/B test、數據實驗與行為分析模型。-確保分析方法與統計口徑一致。4. 資料治理與跨部門推動-建立資料定義、權限、品質管理制度。-協調跨團隊需求，確保策略與技術執行一致。5. 團隊管理-管理 Data Eng / Analyst / Scientist / BI 團隊。-制定團隊能力矩陣、技術標準與發展路線。

Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience. 3 year of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume). Experience with database administration techniques or data engineering, and writing software in Java, C++, Python, Go, or JavaScript. Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams. Preferred qualifications: Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments. Experience working with Big Data, information retrieval, data mining, or machine learning. Experience in building applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow). Experience architecting, developing software, or production-grade Big Data solutions in virtualized environments. About the jobAs a Data Engineer for the Analytics, Insights and Measurement (AIM) team, you will Help customers, grow their businesses through trusted analytics, insights and measurement that ensure user privacy.Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.Responsibilities Create and deliver recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring approach and messaging to varied levels of business and technical stakeholders. Design, develop, and maintain reliable data pipelines to collect, process, and store data from various data sources. Implement data quality checks and monitoring to ensure data accuracy and integrity. Collaborate with cross-functional teams (data science, engineering, product managers, sales and finance) to understand data requirements and deliver data solutions. Enhance data infrastructure for performance, efficiency to meet evolving business needs. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience. 1 year of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume). Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript. Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams. Preferred qualifications: Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments. Experience working with Big Data, information retrieval, data mining, or machine learning. Experience in building multi-tier high availability applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow). Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments. About the jobAs a Data Engineer for the Enterprise Platforms team, you will play a vital role in building and maintaining the data infrastructure that fuels our product strategy. You will design, develop, and optimize data pipelines, ensuring data quality and accessibility for advanced analytics. Your technical expertise will enable the product team to leverage data-driven insights to optimize product feature adoption and performance and measure the impact of strategic initiatives. To accelerate the growth and market leadership of Enterprise Buying Platforms (DV360 and SA360), you will answer critical business questions and deliver actionable, data-driven insights that inform product and commercial strategy. The Enterprise Platform Data Science team provides quantitative support, market understanding and a strategic perspective to our partners throughout the organization, in close collaboration with the Ads Commerce Finance team.Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Responsibilities Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring approach and messaging to varied levels of business and technical stakeholders. Design, develop, and maintain scalable and reliable data pipelines to collect, process, and store data from various data sources. Implement robust data quality checks and monitoring to ensure data accuracy and integrity. Collaborate with cross-functional teams (data science, engineering, product managers, sales and finance) to understand data requirements and deliver impactful data solutions. Optimize data infrastructure for performance, efficiency, and scalability to meet evolving business needs. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

MoMo is the market leader in mobile payments in Vietnam, driven by a commitment to enhancing the lives of Vietnamese citizens through technological innovation.Within the MoMo BigData AI department, we prioritize Smart, Efficient, and Excellent execution. We are currently undergoing a major transformation to build a new hybrid data platform spanning multiple cloud vendors (GCP AWS).We are seeking an experienced Data Engineer to help us architect this platform to optimize for both budget control and technological flexibility. You will play a pivotal role in shifting our mindset from "managing data" to creating valuable Data Products that empower our internal consumers.Mô tả công việcWith MoMo's AI-first mission, we are designing and building a self-serve data platform to empower both internal teams and external partners. This platform allocates resources based on users’ needs to support:Ingesting data from diverse sources — either in batch or streaming, using both pull and push mechanismsDeveloping and deploying resilient data pipelines across the data lake, data warehouse, and streaming systemsDelivering high-quality, derived datasets to downstream tools such as BI solutions (e.g., Apache Superset,Looker Data Studio), via multiple delivery methods including APIs, datasets, and streaming dataMonitoring data quality throughout all data pipelines in the platform to ensure high-quality data, resulting in better decision-making, accurate reporting, and reliable machine learning outputsTracking and optimising resource usage for efficiencyAdditionally, we are building Data Management Systems that enable the Data Governance team and data consumers to:Manage the full data lifecycle within the big data platformExplore the MoMo data ecosystem independentlyProvide a single source of truth with high data quality to downstream consumersTrack and manage infrastructure costs across major projects, teams, and departmentsYêu cầu công việcThe MindsetPassion for Data: You dream in SQL ("SELECT COUNT(SHEEP)...") and care deeply about data accuracy.Product Thinking: You view data as a product, focusing on the usability and reliability of what you deliver to stakeholders.The Tech StackStrong Coding Skills: Proficiency in Java/Kotlin (for robust backend services) and Python (for data processing/scripting).Hybrid Cloud Infrastructure: Hands-on experience with GCP. Proficiency in Kubernetes, Docker, and IaC tools like Pulumi or Terraform.Big Data Engines: Deep understanding of computing engines like Spark, Trino, BigQuery, and Clickhouse.Orchestration: Experience building DAGs and workflows in Airflow or Temporal.Data Sources: Familiarity with diverse sources including App Events, CDC from transactional DBs (Oracle, MySQL, MSSQL), and streaming systems (Kafka, PubSub).Soft SkillsStrong problem-solving abilities with a focus on root-cause analysis.Collaborative spirit: You can explain complex infrastructure decisions to non-technical stakeholders.

MoMo is the leading mobile payments provider in Vietnam, committed to improving the lives of every Vietnamese through technological innovation. As our business continues to expand, we're looking for an experienced Data Engineer to join our Data Platform team.At MoMo, we emphasize smart, efficient, and excellent execution, with a strong focus on data quality. Our data platform delivers critical insights for:Business and app performance monitoringMachine learning products including recommendation systems, personalization, risk scoring, fraud detection, targeted promotions, and financial servicesWe're also building a next-generation hybrid data platform across multiple cloud providers, giving us greater control over both cost and technologyMô tả công việcWith MoMo's AI-first mission, we are designing and building a self-serve data platform to empower both internal teams and external partners. This platform allocates resources based on users’ needs to support:Ingesting data from diverse sources — either in batch or streaming, using both pull and push mechanismsDeveloping and deploying resilient data pipelines across the data lake, data warehouse, and streaming systemsDelivering high-quality, derived datasets to downstream tools such as BI solutions (e.g., Apache Superset, Google Data Studio), via multiple delivery methods including APIs, datasets, and streaming dataMonitoring data quality throughout all data pipelines in the platform to ensure high-quality data, resulting in better decision-making, accurate reporting, and reliable machine learning outputsTracking and optimising resource usage for efficiencyAdditionally, we are building Data Management Systems that enable the Data Governance team and data consumers to:Manage the full data lifecycle within the big data platformExplore the MoMo data ecosystem independentlyProvide a single source of truth with high data quality to downstream consumersTrack and manage infrastructure costs across major projects, teams, and departmentsYêu cầu công việcBachelor’s degree in Computer Science, Engineering, or a related fieldA problem solver with a strong sense of ownership and accountability — not just a task executor5+ years of experience working as a Data Engineer and 1+ year of experience working as leaderCurious and committed to lifelong learning, with a passion for solving business problems through engineering, improving service quality and usability, and maintaining a strong customer focusStrong foundation in computer science fundamentals, including data structures, algorithms, database systems, and data modelling techniquesProficient in at least one of the following languages: SQL, Python, JVM-based languagesExperience with databases such as PostgreSQL, MySQL, ClickHouse, DuckDB, etcSkilled in analysing, designing, implementing, and optimising Data Vault or Dimensional Modeling for performance and costHands-on experience with infrastructure platforms — cloud-based (e.g., GCP, AWS) or on-premise — and container orchestration using KubernetesExperience with data storage and processing engines like Apache Spark, Apache Flink, and StarRocksExperience with Google Cloud Platform or Amazon Web Services is a plus.

We’re reimagining the way people connect with financial products — making them not just useful, but meaningful.As a Senior Team Leader/ Manager - Product Marketing, you’ll be at the heart of shaping how millions of users see, feel, and adopt our products. From defining what our products stand for, to crafting strategies that make them irresistible, you’ll transform numbers and funnels into stories that inspire action.We’re not just marketers — we’re builders of habits and believers in experiences that spark trust and delight. If you’re a Product Marketing professional ready to stretch your impact into the world of digital products, this is your chance to craft something bigger: a product narrative that shapes behaviors, not just purchaseMô tả công việcWhat you will do:Product Value Proposition PositioningDefine and sharpen product value propositions that differentiate us in the market and resonate deeply with users.Craft positioning frameworks that connect product features with real customer needs.Go-to-Market (GTM) StrategyOwn the GTM strategy for new products and features: from launch planning to sustained adoption.Translate funnel insights into action plans in partnership with the Growth Team and Product Team.Ensure the product story is consistently communicated across all user touchpoints and lifecycle stages.User Research Funnel InsightsMap and analyze the user journey across awareness → consideration → usage, identifying barriers and growth opportunities.Partner with research, analytics, and BI teams to validate hypotheses and sharpen GTM planning.Execution Cross-Functional AlignmentLead GTM planning in collaboration with Product, Growth, and other internal stakeholders (Ops, BI, Research).Act as the connector: you provide the strategic direction, while execution teams align their actions to your GTM narrative.Monitor results and continuously optimize funnel conversion, adoption, and retention.What you will impact:Clear product value: users know why our product matters, not just what it does.Successful GTM launches: every product or feature enters the market with a compelling story and adoption plan.Funnel health: fewer drop-offs, stronger conversion across awareness, consideration, and usage.Cross-team clarity: Product and Growth teams align around one GTM strategy.Long-term engagement: products move from being functional tools to trusted daily habits.Yêu cầu công việcTherefore, what we’ll need from you:Must-haveProven track record in product marketing, with experience owning GTM strategies end-to-end.Ability to craft and articulate value propositions that resonate with diverse user segments.Analytical and user-first mindset: skilled in interpreting funnel data and user research.Strong communicator: you can inspire and align internal stakeholders with clear, compelling narratives.Experience collaborating closely with Product, Growth, and Research teams to drive adoption and engagement.Ownership mentality: able to lead initiatives independently, while harmonizing efforts across teams.Nice-to-haveBackground in fintech, tech, or consumer digital products.Experience scaling adoption across multiple markets or ecosystems.MBA or advanced degree in marketing/business.Why this role matters:Product Marketing is the bridge. You define the “why” and “how” behind every launch, while Product, Growth, and other internal teams bring it to life. You’ll craft GTM strategies that shape user perception, accelerate adoption, and turn products into habits.

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.Job Description Astera labs is seeking a skilled and motivated Data Scientist. This individual will play a pivotal role in identifying key data points for collection, developing strategies to accumulate data and deriving actionable insights an anomaly based on a solid foundation of relevant know-how. Also, will also be responsible for creating, testing, and deploying scripts and methods for data collection and analysis to support decision-making. The Engineer will collaborate with cross-functional teams to identify critical data sources to determine the most effective data collection strategies, will develop automated and scalable data collection pipelines, will ensure data quality, integrity, and consistency across all sources and may use AI techniques to refine the results toward failures predictions. Basic Qualifications Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or a related field. Advanced degrees in data science or Machine learning / AI - Advance. Proficiency in programming languages such as Python, R, or MATLAB. Strong understanding of data manipulation and analysis tools (e.g., Pandas, NumPy, SQL). Understanding of high speed interfaces such as Ethernet, PCI-E , WiFi. Experience with data visualization tools such as Tableau, Matplotlib, Graphana. Strong analytical and critical-thinking skills to identify patterns and outliers. Customer-obsession, Think and act with the customer in mind! Goal-driven, Self-motivated, be able to work independently and with teams with people around the globe. Entrepreneurial, open-minded behavior and can-do attitude. Required Experience Experience with data manipulation and analysis tools (e.g., Pandas, NumPy, SQL). Machine learning and AI techniques and frameworks (e.g., TensorFlow, Scikit-learn). Proven ability to manage multiple tasks and meet deadlines. Preferred Experience Embedded Firmware development with C-language, scripting with Python or other equivalent programming languages. Master’s degree in a relevant field. Experience with cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing. Familiarity with big data technologies (e.g., Hadoop, Spark). Knowledge of engineering design tools and processes. We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in product management or a related technical role. Preferred qualifications: 10 years of experience scaling mobile products through inflection points using growth loops, virality, and funnel optimization. Knowledge of generative AI, with the ability to translate AI capabilities into roadmaps. Ability to align stakeholders, build business cases, and influence leadership without formal authority. Ability to work with ambiguity. About the jobAt Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.Generative AI is bringing a fundamental shift in how stories are told. We are witnessing a moment where the distance between a spark of imagination and a high-fidelity video is collapsing. At YouTube Create, we are pioneering this change.Our mission is to ensure that the next era of creativity is defined by limitless expression, not technical expertise. We are building a Generative AI first mobile experience that empowers every creator to realize their full potential. By putting the world's most sophisticated AI, we are making impossible parts of creation such as complex edits, cinematic scenes, symphonic soundscapes accessible to everyone. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Leverage generative AI to drive user acquisition. Define and execute a roadmap that supports growth for YouTube Create. Identify and build AI features, making onboarding seamless. Resolve issues and navigate the complexity of a global platform. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.