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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India.Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development in one or more general purpose programming languages. Experience in one or more programming languages (e.g., Java, C/C++, Python, or Go). Preferred qualifications: Experience in systems engineering with designing and building distributed processing systems using languages like Java, Python, or Scala. Experience in data warehouse design, with developing and managing enterprise data warehouse solutions. Experience in data analytics with the ability to leverage data systems to provide insights and collaborate in business selections. Experience with modern Open Source Technologies in the big data ecosystem with frameworks like Apache Spark, Apache Hive, and Apache Iceberg. About the jobIn this role, you will work on problems, designing solutions that enable data migrations from petabytes to exabytes per day, accelerating the customer's journey to Business Intelligence (BI) and Artificial Intelligence (AI). You will deliver multiple products to external Google Cloud Platform (GCP) customers and simplify their most data processing needs.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 Design and develop software for Data Warehouse migration, focusing on cloud-native and distributed systems. Collaborate with Product and Engineering Managers to drive the technical strategy for data migration and the development of new connectors. Provide technical direction and mentorship to the team, ensuring quality in design and code reviews. Own the delivery of new features, managing project priorities and deadlines to launch with quality. Engage with cross-functional partners, including Google Cloud Platform (GCP) infrastructure teams, to build and deliver integrated solutions. 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.

【關於我們 - Data Munger AI】 Data Munger 致力成為企業與實用 AI 解決方案間的最佳夥伴，從導入一路陪伴到落地。 在人人喊AI的時代下，真正為企業打造一個會持續進化的「AI 大腦」讓決策更快、流程更簡，讓人力價值最大化。 官網： https://datamunger.io/ 💼 工作職責 資料處理管道設計與開發 使用 Python 與 BigQuery SQL 為 AI 應用設計、開發及維護資料處理流程，確保機器學習模型可獲取高品質資料。ETL/ELT 工作流程構建 建立並優化 ETL/ELT 流程，確保資料自動化處理與數據一致性。RAG 系統實作 應用 RAG（檢索增強生成）技術，提升 AI 互動的準確性與上下文相關性。向量資料庫與查詢優化 優化向量資料庫（如 Pinecone、Qdrant）及 SQL/BigQuery 查詢效能，提升 AI 搜尋與回應速度。API 建構與維護 使用 Python 框架（FastAPI、Flask）建立並維護資料處理與 AI 服務 API。機器學習模型與資料管道部署 在雲端基礎架構（主要以 GCP 為主，並整合部分 AWS）上部署 ML 模型與資料管道，實踐 MLOps 原則以確保部署具備可重現性、擴展性及監控能力。跨部門協作與技術創新 與資料科學家、AI 研究人員及前端團隊協作，共同打造端對端 AI 產品，並持續導入最新技術以優化解決方案。

我們正在尋找一位具備廣告數據與行銷洞察能力的數據分析師，負責優化行銷數據與業務報表體系。你將監控廣告投放表現、追蹤行銷漏斗轉化，並與商業團隊、產品團隊、甚至工程師們共同發掘 SWAG 的成長機會。 - 工作內容 行銷廣告與用戶數據分析整合多來源行銷數據（DSP、Voluum、Google Ads、GA4、Mixpanel），建立系統化指標。分析廣告素材表現、渠道成效（CTR、CPA、CAC、ROAS），與投放團隊合作設計 A/B 測試，優化廣告表現與成本。監控品牌行銷活動成效，追蹤流量、站內用戶指標的變化。使用 Mixpanel 分析用戶自廣告進站後的行為路徑，追蹤 DAU、LTV 等關鍵成長指標。報表與分析協作建立顆粒度細到廣告素材的報表，以利系統化的分析。維護行銷團隊日常監控報表，如素材表現追蹤、廣告渠道表現追蹤、週報。與其他團隊的分析師協作，透過 Mixpanel、BigQuery、Looker Studio 自動化數據整合與更新。支援其他團隊分析需求。

【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！

我們正在尋找一位兼具技術知識與內容策略能力的 SEO 專員，能同時優化網站架構與內容佈局，確保 SWAG 的網站在搜尋引擎中長期保持健康與成長。你將與前端、行銷、及數據分析團隊密切協作，從技術面確保收錄，從內容面推動曝光，打造穩定且可持續成長的自然流量基礎。 - 工作內容 網站技術健康監控與優化使用 GSC、Ahrefs、Screaming Frog 等工具分析 crawl、index、canonical、sitemap、robots.txt 等問題。監控網站收錄狀況與 Core Web Vitals，優化載入速度、結構化資料、行動裝置友好度，與工程團隊合作修復技術錯誤，確保搜尋引擎可正確抓取。與工程、設計、行銷團隊合作，確保 SEO 需求在開發中被正確實作。內容 SEO 策略與落地執行制定關鍵字策略（品牌、非品牌、長尾詞），持續追蹤排名與流量表現。管理與優化 SWAG Blog（內容結構、內部連結、metadata），確保 SEO 一致性。分析競品與搜尋趨勢，系統化的依據策略與 AI 工具協作，產出 SEO-friendly 內容。數據整合與成效追蹤整合 Ahrefs、GSC、GA4、BigQuery 數據，建立 SEO 儀表板分析內容成效，並透過數據驅動策略。監控自然流量、domain authority、referring domains、backlink 品質。建立系統化的運作流程，定期輸出報告與異常分析。

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Pune, Maharashtra, India.Minimum qualifications: Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 3 years of experience with two or more of the following: web tech, data/big data, SQL, BigQuery, systems admin, machine learning, networking, Kubernetes, Oracle, or SAP. Experience with coding in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go, JavaScript, etc.) and in virtualization and orchestration frameworks. Experience with Linux/Unix or other operating systems (e.g., Kernel to Shell, file systems, client-server protocols, etc.). Preferred qualifications: Experience in data analytics, warehousing, ETL development, data science, or other big data applications. Experience with SQL database administration, open source software communities, cloud networking solutions, or distributed computing. Experience working in a dynamic organization with extensive cross-collaboration across functions. Experience in technical consulting on database design and architecture supporting large enterprise customers with high SLO and SLA requirements. Experience with debugging, working on distributed applications or micro-services in a cloud based environment (e.g., Docker, Kubernetes, etc.). About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. In this role, you will provide support to customers making the switch to Google Cloud. When customers cannot resolve issues themselves, you will ensure that we have the necessary tools and processes to swiftly resolve the issue. You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will help Google Cloud by understanding and advocating for our customers' issues. You will be required to work in a shift pattern or non-standard work hours as needed. This may include weekend work.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 Develop an in-depth understanding of Google Cloud's data analytics (e.g., BigQuery) and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and faster diagnosis. Act as 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 part of a team of engineers and consultants that globally ensure 24-hour customer support. This will include a need to sometimes work non-standard work hours/shifts and may include weekend work. Understand customer issues, advocate for their needs with internal teams, including product and engineering teams, and drive high-quality production. Work with customers on their production databases to resolve issues and achieve product readiness, availability, and scale. 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.

Growth Marketing Center (GMC) Growth plays a crucial role in shaping and driving the development of the MoMo platform by integrating multiple products/features across the MoMo ecosystem (instead of focusing on a single product group). From a holistic platform-wide perspective, GMC approaches growth challenges from diverse angles and leverages data and resources from various specialties—including marketing/campaigns, product development, data analytics, merchant network, and finance—to attract and sustain user trust and relationships on MoMo. GMC Retention is a “full-stack growth team,” bringing together expertise in growth marketing, data, and corporate finance, while optimizing different growth levers—such as user analysis/surveys, product experimentation, marketing communications campaign planning and execution, and financial strategies. The team’s mission is to translate the CEO’s strategic priorities into concrete actions and measurable business outcomes.Mô tả công việcBuild, develop and maintain automated dashboards to monitor performance metrics;Monitor data quality to ensure data sources are reliable and relevant for the team’s purposes; prepare data for advanced analytics (e.g. machine learning)Directly take charge of coming up with and delivering high-quality, actionable business analyses of MoMo’s products users: including operational analytics (e.g. campaign performance), funnel analyses, user segmentation, user behavior, channel analyses;Collaborate with other teams (e.g. Growth, Finance, Product, Tech) to follow through on the implementation of growth initiatives, including data-related work to support operations, performance measurement, reporting analysesYêu cầu công việc1 - 3 years of experience;Bachelor’s or Master's degree in a quantitative discipline (e.g., Economics, Statistics, Data Science, Computer Science);Strong work ethics and intellectual curiosity;Excellent analytical skills and problem-solving aptitude;High attention to detail;Experience writing complex queries in SQL (working experience with BigQuery is a plus);Experience with Python/ machine learning is a plus;Effectively collaborate within a team as well as work independently.

Mô tả công việcWorking with Data Scientists to build Machine Learning systems using your engineering experience. As an example, suppose that we want to build a fraud detection system, you will take care of building the services necessary for retrieving user history, transforming data, applying machine learning models and connecting to other services for appropriate actions. In some situations, you can build the whole Machine Learning application from end to end.Applying Machine Learning in personalization, deal recommedation or user behavior analysis.Designing and building data pipelines that serve Machine Learning models.Providing a platform that is super easy for Data Scientists to explore new features, build models and conduct A/B tests.Building framework for monitoring Machine Learning systems.Yêu cầu công việc4+ years of hand-on industrial experience with Big Data and Machine Learning.Good engineering skills. You have experience in building ML systems. The stack we use is, (you don’t have to know them all, we welcome the candidates to learn on the job!)Languages: Python, Scala, Java/KotlinFramework: Bazel, Dagger, VertxInfrastructure: GCP, AWS, K8s, BigQuery, Spark, Airflow, etcStrong understanding of mathematical foundations of Machine Learning algorithms.Have practical experience in applying Machine Learning in personalization, deal recommedation or user behavior analysis.Strong product ownership. You take a high responsibility for what you build. You keep a high bar for product quality.Strong communication skills. This position requires working closely with business, product managers, and other stakeholders.Being able to understand deeply what impacts the business, and drive the ML team to deliver those impacts are essential skills.If you are looking for a place to grow your career and impact millions of people, MoMo might be just the right place for you.

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

MoMois a FinTech startup that offers a mobile, electronic wallet and payment application for iOS and Android devices. Its products help customers in Vietnam make nationwide cash transfers, pay more than 100 types of bills, recharge mobile phone accounts, settle personal loans, and purchase services such as software licenses, online game cards, etc.The CDO is MoMo's central data team, working not only on individual projects for each department but also covering data analysis across multiple cross-functional projects. With 100% of its members having extensive expertise in data, the CDO focuses on data and will help you develop a wide range of skills across the entire data lifecycle – including Data Analytics, Data Engineering, Data Science, and more.Mô tả công việcThe Data Analyst will be part of the Data Analytics team, and work to supplement the analytics and visualizationcontributions towards the data-driven decisions at MoMo. This candidate should enjoy managing high volumes ofcommercial and operational data and be comfortable providing analyses and insights. They will have the opportunity todirectly influence the products and development of the company, and their conclusions will have a wide-ranging impacton the commercial decisions of the business. The main tasks include, but are not limited to:Building, developing, and maintaining automated dashboards to monitor performance metricsMonitoring data quality to ensure data sources are reliable and relevant for the team’s purposesAnalyzing complex data to drive insightful findings and translating them into meaningful, actionablerecommendations for our stakeholdersDesigning and implementing solutions and best-practices, with automation and scalability in mind, to empowerend-users to become self-reliantCollaborating with internal team to consolidate requirements, understand business needs, and deliver projectsin a timely mannerAd-hoc Reporting Data Analysis duties or other responsibilities as requiredTypes of projects include: customer segmentation; analyses to enhance user acquisition, engagement,conversion, retention; reporting standardization; gamification; A/B testing experimentation analysis forproduct development and optimizationYêu cầu công việcMinimum QualificationsUniversity degree (BA, BSc, etc.) in a quantitative discipline such as Statistics, Computer Science, Mathematics, Information Management; orUniversity degree with quantitative/statistics coursework such as Business, Economics, Marketing, or relevant fieldsKey Skills/Experience RequiredCritical:Excellent analytical skills and problem-solving aptitudeAbility to collect, organize, and analyze significant amounts of data with high attention to detailAbility to visualize findings, create meaningful insights, and arrive at actionable recommendationsStrong spoken and written communication skills (in both English and Vietnamese) to collaborate with team members and to explain findings clearly to internal team as well as stakeholdersExperience writing complex queries in SQL or other SQL-based languagesWork proactively with key business partners to closely monitor risks and opportunities and identify improvement opportunitiesFoster strong relationships with business units by establishing a culture of support and shared accountability within the teamSense of ownership, a growth mindset, and the ability to recommend solutions which are scalableSelf-learner and quick to adopt new knowledge and technical skillsEffectively collaborate within a team as well as work independentlyDesirable:Experience with BI/analytics/statistics tools and languages (Google BigQuery, Google Data Studio, R, Python, etc.)Solid technical/functional knowledge in statistics