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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.

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 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.

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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. Experience in technical project management, stakeholder management, professional services, solution engineering, or technical consulting. Experience in system design or reading code (e.g., Java, C++, Python). Experience in a customer-facing role working with stakeholders, driving customer technical implementations or transformation programs. Ability to communicate in English and Mandarin fluently to support client relationship management in this region. Preferred qualifications: Master's degree in Computer Science or equivalent practical experience. Experience in the online advertising industry. Experience with SQL, Linux, and cloud or distributed computing platforms like BigQuery, Hadoop, App Engine, etc. Ability to collaborate with people and multiple job functions. Ability to work separately, and manage multiple projects and solve problems. Excellent communication skills, with the ability to present technical materials to groups. About the jobgTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.In this role, you will lead in-market product commercialization, market analysis, customer product needs assessments, and day-to-day technical escalations in order to maintain the success of the customers. You will have the ability to absorb technical concepts and communicate them to technical and non-technical audiences, and interact with product management teams. You will be working with cross-functional teams to improve the products and operations. You will be familiar with online advertising and will have experience working within the industry.Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.To learn more about gTech, check out our video.Responsibilities Provide technical consulting services and guidance around Google Application Programming Interfaces (APIs) and tech platforms to help clients develop applications across ads products. Work with customers to understand underlying business tests. Manage relationships with business teams and customers, and leverage these relationships to identify and develop technical solutions that lead to more advertising business. Work across business, support and product teams to provide solutions to tests. Propose, design, create and present prototypes, demos and proofs-of-concept to audiences including engineers to marketing professionals. Leverage Google’s tech platforms and big data analytics systems to achieve the goals. 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.

公司介紹 我們的客戶為台灣具代表性的證券公司，長期深耕數位金融與智慧投資服務，並積極透過資料治理與 AI 應用，打造新一代以客戶為核心的數位體驗。 近年持續推動數據平台化、AI 治理與個人化服務，已成功將數據轉化為實際的投資決策與客戶互動價值，是金融產業中少數能將數據治理真正落地的組織之一。 工作內容 規劃、建立並落實 資料治理（Data Governance）與 AI Governance 機制，確保 AI 應用的合規性與可持續性 主導 數據即服務（DaaS） 架構，推動數據平台化與跨單位數據共享 結合數位軌跡與客戶行為分析，發展個人化服務與精準客戶意圖場景 以業務目標導向規劃數據驅動的數位轉型，拓展數位金融生態圈 建立與管理客戶標籤體系，支援行銷、風險控管與服務優化 協助打造數據自動化 Pipeline 與視覺化 UI / UX，提升數據使用效率 帶領團隊或跨部門專案，推動數據與 AI 應用落地 使用的技術與工具 Python Oracle SQL Data Pipeline / Data Platform 客戶行為數據與標籤系統 （加分）TensorFlow、PyTorch、Hadoop （加分）Tableau、Power BI、JavaScript

Realize your potential by joining the leading performance-driven advertising company! As a Senior Backend Engineer on the RD Team in our Taiwan office, you’ll play a vital role in designing and maintaining the robust systems that power our backend systems. You’ll build scalable data pipelines and backend services that process billions of daily requests, directly impacting how millions discover content worldwide. To thrive in this role, you’ll need: 5+ years coding experience in Java or similar OOP languagesExpertise with relational and NoSQL databases (MySQL, Vertica, Cassandra, Google BigQuery..)Experience with distributed systems (Spring, Maven, Kafka, Apache Spark, Hadoop..)Deep understanding of core data structures, common algorithms and algorithmic complexity (Big O notation).Proven track record building and managing data pipelinesProficiency with version control systems such as Git, CVS, or Subversion Bonus points if you have: Experience with Kubernetes and containerizationKnowledge of workflow automation (Airflow) How you’ll make an impact:As a Senior Backend Engineer, you’ll bring value by: Designing and developing high-performance backend services and improve Taboola’s recommendation Ad Quality infrastructure. Building and optimizing large-scale data pipelinesWriting clean, maintainable code following best practicesConducting thorough code reviewsTroubleshooting and resolving system performance issuesCollaborating with cross-functional teams on technical solutions Why Taboola?If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about: Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture. Well-being: Enjoy comprehensive benefits, a fully stocked kitchen, and location-specific perks.Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda. Ready to realize your potential?Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need. Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, Twitter, YouTube, the Taboola Life Blog.

愛進化團隊，是由一群熱情、創意、積極的夥伴組成的台灣創意團隊。這些年不斷的打破框架、創新進化，傾聽市場需求以期提供更好的用戶體驗。「持續不斷的進化」不僅是我們的信念，也是我們的超能力，我們希望能招收更多勇敢創新的人才，一起用材料應用、創新、自動化的方法，設計出更多有趣的產品！ Data-driven decision making 會是我們進化的關鍵之一，背後的資料倉儲、轉換以及應用將是使資料發揮影響力，轉化成洞見，進而影響決策的重要過程，因此打造流暢的數據架構將是IT與資料團隊共同的目標。期待各方人才加入我們的行列 創建並維運分析所需的資料流（data pipelines）: 整合資料團隊現有的 data pipelines，串接內外不同資料來源，並根據資料科學家接受的各部門需求，設計並維運新的 data pipelines。與CRM, CDP系統商進行資料串接及維護: 導入 CRM 與 CDP 的過程中，資料工程師將與系統商對接，進行資料流的架構規劃以及資料串接。與IT團隊合作進行公司資料倉儲中心共同設計及維護: Data Warehouse 是企業重大資產之一，資料工程師將與IT團隊密切合作，打造屬於愛進化的資料倉儲中心。排程及部署資料科學家設計的演算法: 部署公司內部需要的演算模型，包括預測、關鍵指標設計等等。監控並維護資料品質: 資料的良好品質是讓資料發揮影響力的重要基礎，資料工程師將根據資料科學家與其他部門的 domain users 定義的資料，進行資料的梳理、轉換以及監控。

1.使用 terraform 管理 GCP 基礎建設2.監控和優化系統效能3.管理和維護 Kubernetes 服務4.協助開發人員建立高可用和高擴展架構5.系統監控及 Log 的處理 - Elasticsearch / Kibana/ tableau / Cassandra維護 tableau 服務

公司介紹： 我們的客戶是一家領先的金融科技公司，致力於通過數位、數據和技術推動整體轉型。公司正在積極打造數據驅動文化，以成為提供卓越金融服務的科技公司為目標。公司環境開放創新，鼓勵員工發揮創造力，實現職業理想。 JD: 1. 機器學習、深度學習或統計分析模型專案開發 2. 配合數據技術發展目標，研究與實作可落地應用之新興數據模型技術 3. 協助數據轉型，規劃end-to-end的數據應用解決方案 4. 當負責之數據服務被設定為""不能中斷""之服務等級，則需配合維運團隊於非上班時段on call以便即時處理問題，確保服務穩定。