Cari Lowongan

We are looking for a pragmatic and proactive Cloud Data Engineer to join our core data team. In this role, you will be responsible for the critical task of consuming tracking data from the webshop and transforming it for the Business Intelligence (BI) Core Warehouse. This is a high-impact position. You will work with a modern tech stack on the Google Cloud Platform to ensure our data pipelines are robust, scalable, and capable of handling high volumes of traffic. If you are an advanced Python developer who loves Infrastructure as Code and thrives in a dynamic environment, we want to hear from you. Key Responsibilities Pipeline Development: Design, build, and maintain scalable streaming data pipelines using Apache Beam (Dataflow) and Python.Infrastructure as Code: Take ownership of our cloud infrastructure using Terraform (Advanced level) to manage resources on Google Cloud Platform.Orchestration: Manage and optimize complex data workflows using Apache Airflow (Cloud Composer).Reliability Monitoring: Ensure the stability of high-importance products. Implement monitoring solutions using Grafana to keep a pulse on system health.CI/CD: Maintain and improve CI/CD pipelines using GitHub Actions to ensure smooth and reliable deployments.Collaboration: Work independently on tasks while communicating effectively with the team to integrate solutions into the wider ecosystem (BigQuery, Snowflake).

【關於PropTech數位人才招募計劃】 信義企業集團的各項產品與計畫正融入大數據、機器學習與人工智慧等應用，我們的數位團隊具有豐沛的研發能量，截至目前為止，已累積有40多件發明專利與20件設計專利，大幅領先於房仲相關產業者；並持續致力於「房地產科技創新」與「數位居住生活」兩大面向，以創新智能工具，為使用者提供超乎想像的服務體驗。 我們希望讓居住在這片土地上的人們，在「不動產交易買賣」與「居住生活日常」有更好的保障與體驗，也期待你與我們一起，加速這個改變。 這裡匯聚了40年的集團產業資源，以及多元化的人才；接下來，想邀請你加入，與我們一起創造超乎想像的體驗，成就即將到來的未來！ 【職務簡介】 1.規劃與建置企業級數據平台架構（Azure Data Platform：Databricks、Data Factory、Fabric、Power BI），確保系統穩定性、擴展性與長期可持續發展。 2.設計並優化 AI 與 Data Services（Function App、SQL MI、API、Batch 等），支援 AI 模型部署、應用服務化與業務落地。 3.規劃跨雲數據與 AI 服務整合（Azure、GCP/Vertex AI、BigQuery ML），確保跨平台數據流通與應用效能。 4.建立並推動公司數據與 AI 架構標準，包含數據治理、安全合規、效能優化與成本控管。 5.設計高效率的 ETL / ELT 資料處理流程，確保數據整合的正確性、即時性與最佳化。

At MoMo, we are not just processing transactions; we are shaping the future of finance in Vietnam. We are seeking a visionaryAnalytics Engineering Managerto bridge the gap between complex data infrastructure and actionable business insights. In this pivotal role, you will lead the charge in defining our data modeling standards, ensuring data quality, and empowering our stakeholders with a robust, self-service data platform. If you are passionate about applying software engineering best practices to data analytics and leading high-performing teams, we want you to build the future with usMô tả công việc1. Team Leadership Culture:Lead, mentor, and grow a team of talented Analytics Engineers. You will be responsible for their career development, fostering a culture of continuous learning and technical excellence.Champion the "Data as a Product" mindset, ensuring that datasets produced by the team are treated with the same rigor and reliability as customer-facing software.Drive agile processes within the data team to ensure rapid delivery of value while maintaining high standards.2. Technical Strategy Architecture:Architect and maintain a scalable data modeling layer (using tools likesemantic) that transforms raw data into reliable, documented, and accessible datasets.Define and enforce coding standards, version control practices (Git), and CI/CD workflows for analytics code.Collaborate with Data Engineering to optimize data warehouse performance (e.g., BigQuery/Lakehouse) and manage compute costs effectively.3. Data Quality Governance:Implement automated testing and observability frameworks to detect data issues before they impact downstream users.Establish clear data lineage and documentation to democratize data access across the organization.Ensure strict adherence to data privacy, security, and compliance standards—a critical requirement in the Fintech sector.4. Cross-Functional Collaboration:Partner closely with Product Managers, and Business Leaders to translate complex business requirements into technical data solutions.Act as a technical advisor, helping stakeholders understand the "art of the possible" with our data stack.Yêu cầu công việcExperience:5+ years of experience in the Data domain, with at least 2 years in a leadership or management role.Technical Mastery:Expert-level SQL skills and deep understanding of query optimization.Hands-on experience with Cloud Data Warehouses (Google BigQuery)Workflow Orchestration:Hands-on experience with orchestration tools such asAirflow, n8n.You should be capable of designing complex, dependency-aware pipelines that are resilient to failure.BI Semantic Layer Integration:Deep understanding of how data is consumed by BI tools (e.g.,Looker...). Ability to design the 'Semantic Layer' to ensure consistent metrics across the organization.Soft Skills Culture FitStakeholder Management:"Ability to manage expectations with C-level executives and negotiate priorities effectively in a fast-paced environment."Talent Acquisition:"Experience in recruiting top-tier engineering talent and building a diverse, high-performing team from the ground up."

Participation in the internship program requires that you are located in Taiwan for the duration of the internship program. Please complete your application before January 31, 2026.This internship is intended for students in their penultimate academic year. To be eligible for this program, candidates must have an expected graduation date in December 2026 or 2027 and be available to work full-time for 10-12 weeks during 2026 summer.This internship program is intended for students in the penultimate year of a Bachelor's or Master's degree program. We will accommodate your school schedule when determining the start date and duration of the internship. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program.Click the “Apply Now” button to submit your resume in English in a PDF format (in your resume, be sure to include your expected graduation month and year and your availability for the internship). A cover letter is not required.Google welcomes people with disabilities.Minimum qualifications: Currently enrolled in a full-time degree program pursuing a MBA and returning to the program after the end of the internship. Ability to communicate in Mandarin and English fluently. Preferred qualifications: Bachelor's degree in Supply Chain, Operations, Information Engineering, Computer Science, Information Engineering, Mechanical Engineering, or equivalent practical experience. Experience in supply chain concepts (e.g., Sales and Operations Planning (SOP), demand forecasting, inventory optimization, lead time variability), logistics, fulfillment, manufacturing, product design, or related operations organizations. Experience in SQL or Python, and Google Cloud AI ecosystem (Gemini, Vertex AI, BigQuery). Knowledge of Google workspace, sheets and data visualization concepts. Understanding of B2C/B2B, manufacturing process flow and optimization, transportation, fulfillment and distribution, or repair operations. Interest in Artificial Intelligence (Generative AI, LLMs, or Machine Learning) through coursework, or self-projects. About the jobOur MBA interns work on projects that take on some of the most cutting-edge business challenges in the high-tech industry. Here are a few teams that our graduate interns have joined across the business:- Business Strategy- Finance- Marketing- Operations Support- People Operations- Product Management- Sales- Technical Solutions Google invites you to join us for a unique summer experience in a 10-12 weeks paid internship for MBA students. Our MBA interns work on projects handling some of our complex business challenges in the tech industry. Our graduate interns have joined us in areas across the business, such as Program Management, Technical Program Management.Want to change the world? Or are you thinking even bigger? At Google, you'll find big problems, and plenty of opportunities to make a real difference in the world. Google employs MBA and graduate students, globally, in areas ranging from product management and sales to finance, operations, and human resources - and everything in between.Internships for MBA and other business-focused graduate students are 10-12 weeks long and are offered in a range of functions across the company. For internships, we hire first into job families and then work with successful candidates to find project groups that match their skills and interests.Responsibilities Intern projects will be determined based on the experience, skills and interests of the student. If you are interested in a particular area, please make sure to include it in your resume. 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.

As a Senior Data Analyst in the Financial Services sector, with a focus on credit products, you will leverage your expertise in data analysis to deliver actionable insights that drive business decisions.You will be responsible for analyzing large datasets, creating financial models, and working closely with cross-functional teams to optimize credit risk strategies, customer acquisition, retention, and profitability.Mô tả công việcConduct rigorous hypothesis testing, including A/B testing, to evaluate the effectiveness of marketing campaigns and product featuresCollect, analyze, and interpret large datasets to identify trends, patterns, and insights that contribute to business growth and operational efficiency.Leading complex data analysis projects from inception to completion.Mentoring junior team members and providing guidance on technical and analytical skills.Assist in creating business cases with detailed analysis, outlining problems, opportunities, solutions, strategic directions, and performance management for investment and insurance productsPlan, forecast and monitor performance and budget of said projects while proposing necessary changes to maximize efficiencyYêu cầu công việcMinimum Qualifications (education): Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science.Experience:At least 3 years of experience in data analytics, preferably in the financial services, credit sector.Experience working with digital lending productEssential skills:Experience with BI/analytics tools (Google BigQuery, Data Studio..)Proficiency in SQL, Python is a mustFamiliarity with machine learning techniques and financial modeling.Advanced proficiency in statistical analysis, and data visualization.Ability to lead and mentor junior team members.Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.Strong project management skills and ability to prioritize and manage multiple tasks simultaneously.Personal characteristics:Result-orientedDo whatever it takes to get the job doneCuriosity and eagerness to learn new techniques and toolsInnovative thinking and problem-solving mindsetAttention to detail and commitment to producing high-quality work

Mô tả công việcCreate, maintain, and update test-related artifacts, including Test Cases, Test Plans, and Test Reports for marketing products.Perform testing on advertising features such as:Campaign, Creative, Ad Group managementTargeting, Budgeting, Bidding logicTracking (Impression, Click, Conversion)Ads Reporting DashboardExecute all phases of testing:Functional Testing, Integration Testing (Ads services, tracking, billing, reporting),System Testing and Regression Testing, Ad-hoc Testing for risk-based scenarios in production-like environments.Track testing progress, monitor product quality, and report issues/risks to TL/PM in a timely manner.Analyze Ads/promotion business requirements and participate in requirement/PRD reviews to detect logic gaps and tracking/data issues early.Prepare test data and test environments for Ads campaigns, creatives, budgets, and reports.Analyze defects, identify root causes, and propose solutions to improve Ads/promotion system quality and performance.Collaborate closely with Developers, Product, Data, and Operations teams to ensure quality, SLA, and stability of the Ads/promotion platform.Contribute to improving QC processes, checklists, and test strategies for Ads/promotion systemsYêu cầu công việcExperience Technical SkillsBachelor’s degree in Computer Science or related fields.At least 2 - 3 years of experience in Manual Testing for Web, Mobile, and Backend systems.Hands-on experience in:Integration Testing, creating Test Cases and Test Plans across multiple projects.API Testing using Postman (request/response validation, tracking events).Database querying (MySQL, PostgreSQL, BigQuery, etc.).Knowledge of: Software Development Methodologies (Agile/Scrum).Soft SkillsStrong analytical mindset with attention to data accuracy and business logic.Ability to handle multiple projects and work under tight release schedules.Proactive, responsible, and a strong team player.Willingness to work overtime when required by project needs.Nice to HaveExperience in Test Automation for Web, Mobile, or Backend systems.Experience in testing: Ads Platform / AdTech / Tracking or Data-intensive systems is a strong advantage.

The MoMo Recommendation Platform is a complex system that powers personalized experiences for millions of users using a diverse range of technologies.We’re looking for a Senior Software Engineer with strong system thinking, architecture design skills, and a product mindset to help build the MLOps platform that transforms any AI/ML solutions into production-grade systems at scale.Mô tả công việcThink like a product engineer: you don’t just “code a solution” – you build a platform that empowers others to deliver intelligent sysDesign and develop a flexible platform that turns AI/ML solutions into production-ready systems: microservices, batch pipelines, or real-time APIsBuild infrastructure to support:Model training pipelinesPackaging deploymentServing rolloutMonitoring alertingCollaborate closely with Data Scientists, Business, and Product teams to deeply understand requirements and design adaptable, scalable solutionsIntegrate platform components into MoMo’s broader infrastructure: promotion engine, A/B testing, analytics, real-time scoring, etc.Yêu cầu công việcMust-Have5+ years of experience in software development, system architecture, or backend/platform engineeringProficiency in one or more of the following: Python, Bash, C++, JavaScript, Java, or GoStrong problem-solving skills and teamwork spiritExperience with:Platform Deployment: Kubernetes, Helm, Argo CD, Argo Rollouts, Docker, Google Cloud Platform (GCP) or Amazon Web Services (AWS)Serving APIs: FastAPI, gRPC, MLflow, KServe, custom logic services, REST APIsData Messaging: BigQuery, Redis, MongoDB, PostgreSQL, Oracle, MySQL, Kafka, Pub/SubOrchestration Workflow: Airflow, Argo WorkflowsCI/CD Monitoring: GitHub Actions, Prometheus, GrafanaData Sources: App event streams, relational databases, messaging systems, APIsSolid understanding of distributed systems and cloud-native architectureAbility to design systems that support diverse solution typesPlatform mindset: you build for stability, scalability, and long-term maintainabilityStrong communication and collaboration skills – able to work cross-functionally with Data Scientists, DevOps, and Product teamsNice-to-HaveExperience working with both AI/MLExperience scaling low-latency / real-time systemsFamiliarity with A/B testing, canary release, and shadow deployment strategiesProduct-oriented mindset: you build systems that others can easily adopt and extend

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 5 years of experience with two or more of the following: Web Tech, Data/Big Data, Machine Learning, Systems Admin, Networking, Kubernetes. 5 years of experience reading or debugging code in one or more general purpose languages (e.g. Python, Java, Go, C or C++). Ability to communicate in Japanese and English fluently to communicate with external and internal stakeholders. Preferred qualifications: Experience with SQL database administration, open source software communities, cloud networking solutions, or distributed computing. Experience in data analytics, warehousing, Extract Transform and Load (ETL) development, data science, or other Big Data applications. Experience working with recommendation engines, data pipelines, or distributed machine learning. Experience working in distributed applications or micro-services in a cloud based environment (e.g., Docker, Kubernetes). Experience working in a fluid environment with cross-collaboration across functions. Knowledge of Web application development/deployment, HTTP/RESTful API troubleshooting, or database design/troubleshooting. About the jobThe Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You solve the technical issues to show how our products can make businesses more collaborative. You work with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are important in helping Google grow its cloud business and helping companies around the world innovate.Responsibilities Develop an understanding of Google Cloud's Data Analytics (e.g. BigQuery), AI/ML, and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer reported issues, building tools, and diagnosis. Act as a consultant and subject-matter-expert for internal stakeholders in Engineering, Sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud. Work as a part of a team of Engineers/Consultants that globally ensure 24 hour customer support. Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams, and drive production. Work with customers on their production deployment to resolve issues and achieve product readiness and availability. 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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Gurugram, Haryana, India.Minimum qualifications: Bachelor's degree in Computer Science or a related technical field or equivalent practical experience. 5 years of experience troubleshooting technical issues for internal/external partners or customers. Experience in either system design or reading code (e.g., Java, C++, Python). Preferred qualifications: Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field. 8 years of experience managing projects and working with analytics, software coding, or customer-side web technologies. 8 years of experience with data analysis and SQL/MySQL. 8 years of experience in a customer-facing role. 8 years of experience in operations management (e.g., process improvement, operational reviews, optimizing workflows, etc). Experience working with internal gTech Ads tech stacks (e.g., BigQuery, Cloud Functions, Borg, Business Intelligence Platform). About the jobAs a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Responsibilities Act as the primary technical Subject Matter Expert (SME) for clients and Sales. Rapidly master new product stacks and explain technical trade-offs to ensure stakeholder alignment and solution implementation. Lead outsourced technical operations. Hold vendor partners accountable for technical SLAs, quality, and compliance. Manage the full vendor life-cycle, and prioritize the evaluation of a partner's technical capabilities. Analyze operational data, identify root causes, and advocate innovation through AI, automation, and solution reuse. Drive technical improvements to boost efficiency and customer experience. Serve as the technical and operational bridge between business stakeholders and vendor teams. Translate high-level business goals into clear, executable technical operation plans. Collaborate with cross-functional teams (e.g., Legal, Finance) to manage program status, actively mitigate technical risks, and swiftly resolve technical escalations to ensure program stability. 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 or equivalent practical experience. 10 years of experience in planning, pitching, and executing a territory business strategy/sales programs and developing mechanisms to grow business. 2 years of experience in people management with direct reports. Experience in managing a quota-carrying sales team. Experience in promoting data and analytics software or solutions. Preferred qualifications: Bachelor's degree or equivalent practical experience. Experience with market leading Business Intelligence (BI) front-end, data analytics middleware, or back-end data warehouse technologies. Understanding of data analytics technology stack (e.g., Hadoop/Spark data lakes, columnar data warehouses, data streaming, ETL and data governance, predictive analytics, OLAP, and data science framework). Familiarity with Google Cloud data and analytics offerings (e.g., BigQuery, Looker, DataProc, PubSub, etc). Ability to engage and influence executive stakeholders at the CDO/CXO level as a business advisor and thought leader in data analytics. Excellent business judgement and analytics skills, using data informing decisions and influence stakeholders. About the jobIn this role, you will lead a Sales team and grow Google Cloud accounts in assigned territories. You will build executive-level relationships, and align our offerings and partners value proposition to customers needs. You’ll be prospecting, qualifying, and orchestrating a cross-functional team, leveraging the right resources, including customer engineering, partner management, professional services, and field teams. You will work in complex agreements and be part of a specialized team.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge 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 Hire, motivate, develop, and lead a team of sales specialists to grow and exceed annual and quarterly goals. Collaborate with the wider Google sales organization to develop scaled strategies, drive pipeline, and provide oversight to the overall data analytics pipeline health. Generate a plan to ensure broad data analytics growth into Google Cloud accounts and manage cross-functional partners in complex implementation projects and agreements. Build and maintain relationships with C-level customers, influence long-term strategic direction, and act as an advisor. Ensure accurate and timely sales and business forecast and regular updates to team and leadership on key business priorities and initiatives. 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.