Cake Job Search

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

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

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.

This role requires you to work in a shift pattern or non-standard work hours as required. This may include weekend work.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, 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 with debugging, working on distributed applications or micro-services in a cloud based environment (e.g., Docker, Kubernetes, etc.). Experience in data analytics, warehousing, Extract, Transform, and Load (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 Service Level Objective (SLO) and Service Level Agreement (SLA) requirements. 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. As a Technical Solutions Engineer, you will own our large and important customer issues in addition to providing level two support to our other support teams. You will be a part of a global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud.In this role, you will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will make our products easier to adopt and use by making improvements to the product, tools, processes and documentation. Our Technical Solutions team is driven by customers and you will help drive the success of Google Cloud by understanding and advocating for our customers’ issues.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 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. 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. 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 or equivalent practical experience. 5 years of experience in a client facing, technical consulting, or technical support role. Experience with cloud data migration. Preferred qualifications: MBA or Master's degree in Computer Science, or a related Engineering field. 7 years of experience in technical client services. Experience designing and deploying large scale distributed data processing systems with one or more technologies such as SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Vertica, Netezza, Teradata, Tableau, or MicroStrategy. Experience with reading software code in one or more languages such as Java, JavaScript, Python. Knowledge of AI/ML, Generative AI. Excellent communication, presentation, and problem-solving skills. 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. As a Cloud Consultant for Big Data and Analytics, you will work with customers on critical projects to help them transform their businesses. You will provide management, consulting, and technical capabilities to customer engagements while working with customer executives and key technical leaders to deploy solutions via Google Cloud Platform. You will also work with key partners, serving accounts to manage programs, deliver consulting services, and provide technical guidance and best practice expertise.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 Manage and deliver successful implementations of cloud solutions, in collaboration with customer's technical leads, client executives, and partners. Act as a trusted advisor to decision makers throughout the engagement. Propose solution architectures and manage the deployment of cloud based data and analytics solutions, according to complex customer requirements and implementation best practices. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on your field experience. Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks or issues, and timelines for successful client outcomes. Work with internal specialists, Product, and Engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets. 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.This role requires you to work in a shift pattern or non-standard work hours as required. This may include weekend work.Minimum qualifications: Bachelor's degree in Science, Technology, Engineering, or equivalent practical experience. 6 years of experience in troubleshooting and advocating for customer's needs, triaging technical issues, or software development. Experience in creating content for technical audiences (e.g., developer documentation, industry white papers, Computer Science course material, or IT administration playbooks). Experience in writing, reading, and debugging code in one of the following: Java, C, C++, Python, or Go. Preferred qualifications: Experience in data analytics, warehousing, Extract, Transform, Load (ETL) development, data science or other Big Data applications. Experience with open source distributed storage and processing utilities in the Apache Hadoop family or workflow orchestration products. Experience in administering and querying data in distributed, columnar or analytic oriented databases or distributed data processing frameworks. Experience working with any public cloud services and infrastructure (e.g., Google Cloud Platform). Experience developing developer tools (e.g., automation, testing, debugging). Experience in crisis response or escalation management across multiple teams, with the ability to influence momentum of incident response for critical customer issues. About the jobThe High Touch Support team’s focus on solutions and customer-centric supportability helps avoid issues, build customer trust, enable customers' continuous growth and success on Google Cloud Platform (GCP). As a Solutions Engineer, you will own the large and important customer issues in addition to help improve customer experiences. You will be a part of a Global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud. You will provide service to our most critical customers with complex environments, aiming to anticipate their needs, improve product performance, and enable customer success across complex environments. You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will make our products easier to adopt and use by making improvements to the product, tools, processes and documentation.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 Work with customers on their production deployments to resolve issues and achieve product readiness and availability. Triage and manage technical escalations, platform outages, technical issues, and executive concerns. Develop an understanding of Google Cloud's product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and faster diagnosis. Serve as a consultant and subject matter expert for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud. Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams, to find ways to improve the product, and drive production. 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: 15 years of experience in software design, data structures, and algorithms 5 years of experience serving as a technical leader for a software product built by teams Preferred qualifications: Experience in infrastructure security domain Experience building enterprise products at scale and engaging with enterprise customers Experience with inspiring and motivating geographically-distributed teams to work together as a cohesive unit Experience in leadership helping vet, hire, and retain a strong bench of Tech Leads through collaboration with engineering leaders on the team Ability to collaborate closely and innovate with engineering and cross-functional teams (particularly Product Management and Technical Product Management) across Google Cloud and other relevant product areas About the jobSecOps by Google Cloud is advancing cybersecurity for enterprises of all sizes. We are dedicated to helping companies find and stop cyber attacks before they cause harm. With our expertise in global-scale threat intelligence, large-scale cloud computing, and big data, we help our customers and partners identify and solve their most significant security challenges, sorting through exabytes of data to find and resolve the most pertinent threats that our customers face. The SecOps platform delivers the entire range of products and services necessary for enterprises to address their needs ranging from security analytics, response capabilities, and threat intelligence. In this role, you will partner with the Engineering Director, Product Director, and Principal Engineers for Google SecOps to scale the platform and support customers, as well as support more complex environments. You will lead architectural design, integrations with other Google Cloud Platform (GCP)/Alphabet services, integrations with external partners, and optimize our ability to create quality new detections in response to the changing security landscape. You’ll focus on availability, security, and compliance of a global system protecting some of the largest enterprises and governments in the world. Stakeholders will include senior management, engineering leaders across GCP, and external partners, all of whose products and services regularly provide to and consume from your system. You will also work closely with customers to understand their requirements and help make them successful.You will support the growing scale of SecOps in India, spanning both security and distributed systems.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 Create and evolve long-term strategies for SecOps’ systems and infrastructure. Evolve SecOps architecture to support product features that span across multiple Alphabet products with a cohesive user experience. Drive innovation to make Google SecOps the leading security operations platform, leveraging capabilities across Alphabet. Formulate and realize complex technical outcomes in close collaboration with cross-functional partners and leads across the business unit. Build a strong bench of Tech Leads through support of hiring and mentoring in a wide variety of domains ranging from large-scale data processing, UI, enterprise integrations, and security engineering. 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 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, end-to-end, 0 to 1, etc). Experience developing or launching products or technologies within databases, analytics, big data, or a related area. Preferred qualifications: Experience in Cloud, Developer Tools, Database Management, and building AI capabilities in data management solutions. Experience with relational databases and building cloud database services. Experience creating product roadmaps from conception to launch, driving the product vision, defining the GTM strategy, and leading design discussions. 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. AlloyDB is part of the Google Cloud Database area and focuses on Relational Databases (RDBMS) space - a business opportunity and growth accelerator for other Google Cloud products. AlloyDB is a new enterprise grade, cloud native transactional database for high availability and performance. AlloyDB, combines the familiarity of open source PostgreSQL front-end, with custom-built storage and query engines for excellent availability, performance, security and manageability. The AlloyDB team contributes to both the database control plane and the database kernel, and additionally focuses on integration with extended functionalities in the Google Cloud ecosystem, developer tooling and database clients. The team also focuses on Open Source contributions from the project.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 Drive Database and Artificial Intelligence (AI) product strategy and roadmap for the AlloyDB for PostgreSQL portfolio, including wider Google Databases level alignment. Engage with customers and partners to understand their needs and build platform features to enable use cases. Partner with engineering, research and key stakeholder teams to align roadmap and Objectives and Key Results (OKRs) across Google Cloud. Work with quantitative research to implement a data-driven framework to define key business metrics that help the team understand and improve the developer experience. Communicate product strategy to executive leaders , engineering and cross-functional teams, and influence to gain consensus and required resources to deliver. 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.

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.The Role:We are looking for a candidate to join our team who will be involved in the ongoing development of our Enterprise Data Warehouse (EDW) The Media and Marketing Data Enginee role will include participating in the loading and extraction of data, including external sources through API , Storage buckets( S3,Blob storage) and  marketing specific data integrations. The ideal candidate will be involved in all stages of the project lifecycle, from initial planning through to deployment in production. A key focus of the role will be data analysis, data modeling, and ensuring these aspects are successfully implemented in the production environment.Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. These are the behaviors you’ll need for success at Logitech. In this role you will:Design, Develop, document, and test ETL solutions using industry standard tools.Ability to design Physical and Reporting Data models for seamless cross-functional and cross-systems data reporting.Enhance point-of-sale datasets with additional data points to provide stakeholders with useful insights.Ensure data integrity by rigorously validating and reconciling data obtained from third-party providers.Collaborate with data providers and internal teams to address customer data discrepancies and enhance data quality.Work closely across our DI teams to deliver datasets optimized for consumption in reporting and visualization tools like TableauCollaborate with data architects, analysts, and business stakeholders to gather requirements and translate them into data solutions.​​​​Participate in the design discussion with enterprise architects and recommend design improvementsDevelop and maintain conceptual, logical, and physical data models with their corresponding metadata.Work closely with cross-functional teams to integrate data solutions.Create and maintain clear documentation for data processes, data models, and pipelines. Integrate Snowflake with various data sources and third-party tools.Manage code versioning and deployment of Snowflake objects using CI/CD practicesKey Qualifications:For consideration, you must bring the following minimum skills and behaviors to our team:A total of 6 to 10 years of experience in ETL design, development, and populating data warehouses. This includes experience with heterogeneous OLTP sources such as Oracle R12 ERP systems and other cloud technologies.At least 3 years of hands-on experience with Pentaho Data Integration or similar ETL tools.Practical experience working with cloud-based Data Warehouses such as Snowflake and Redshift.Significant hands-on experience with Snowflake utilities, including SnowSQL, SnowPipe, Python, Tasks, Streams, Time Travel, Optimizer, Metadata Manager, data sharing, Snowflake AI/ML and stored procedures.Worked on API based integrations and marketing dataDesign and develop complex data pipelines and ETL workflows in Snowflake using advanced SQL, UDFs, UDTFs, and stored procedures (JavaScript/SQL).Comprehensive expertise in databases, data acquisition, ETL strategies, and the tools and technologies within Pentaho DI and Snowflake.Experience in working with complex SQL Functions Transformation of data on large data sets.Demonstrated experience in designing complex ETL processes for extracting data from various sources, including XML files, JSON, RDBMS, and flat files.Exposure to standard support ticket management tools.A strong understanding of Business Intelligence and Data warehousing concepts and methodologies.Extensive experience in data analysis and root cause analysis, along with proven problem-solving and analytical thinking capabilities.A solid understanding of software engineering principles and proficiency in working with Unix/Linux/Windows operating systems, version control, and office software.A deep understanding of data warehousing principles and cloud architecture, including SQL optimization techniques for building efficient and scalable data systems.Familiarity with Snowflake’s unique features, such as its multi-cluster architecture and shareable data capabilities.Excellent skills in writing and optimizing SQL queries to ensure high performance and data accuracy across all systems.The ability to troubleshoot and resolve data quality issues promptly, maintaining data integrity and reliability. Strong communication skills are essential for effective collaboration with both technical and non-technical teams to ensure a clear understanding of data engineering requirements.In addition, preferable skills and behaviors include:Exposure to Oracle ERP environment,Basic understanding of Reporting tools like OBIEE, TableauExposure to Marketing data platform like Adverity,Fivertran etcExposure to Customer data platformEducation:BS/BTech/MCA/MS in computer science  Information Systems or a related technical field or equivalent industry expertise.Fluency in English.Logitech is the sweet spot for people who are passionate about products, making a mark, and having fun doing it. As a company, we’re small and flexible enough for every person to take initiative and make things happen. But we’re big enough in our portfolio, and reach, for those actions to have a global impact. That’s a pretty sweet spot to be in and we’re always striving to keep it that way.  “All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.” Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.

MoMo is the market leader in mobile payments in Vietnam. We strive to make all transactions fast, easy and joyful. We are looking for an experienced Software Engineer to join our growing Big Data AI team. At MoMo, we make AI/Machine Learning the core component to almost every part of the product - product recommendation, personalization, conversational AI, eKYC, risk scoring, fraud detection, promotion targeting and financial services.As a Software Engineer specializing in Natural Language Processing (NLP), you will play a pivotal role in crafting and deploying advanced conversational AI systems. This position offers a unique chance to make a significant impact by leveraging Generative AI and Large Language Models to transform interactions for millions of users. Join us in pushing the boundaries of AI technology and shaping the future of mobile payments in Vietnam.Mô tả công việcDevelop and Implement Conversational AI Solutions: Design, build, and maintain advanced conversational AI systems that enhance user interactions, utilizing cutting-edge NLP technologies and Generative AI.Contribute to System Architecture: Participate in the design and architecture of systems and infrastructure, ensuring robustness and scalability.Maintain High Standards of Code Quality: Write clean, maintainable, and efficient code in Kotlin and Python, and participate in code reviews to uphold the team's quality standards.Collaborate with Cross-Functional Teams: Work closely with product managers, data scientists, and other engineering teams to integrate AI-driven features into our platform, ensuring seamless user experiences.Yêu cầu công việcWhat we are looking forStrong Problem-Solving Skills: You have a proven track record of tackling complex technical challenges and delivering effective solutions, particularly in the realm of AI and machine learning.Ownership and Proactivity: You take initiative and are driven to see projects through from start to finish. You are someone who can be relied upon to deliver results with minimal supervision.Backend Engineering Proficiency: Minimum 5 years of experience as a Software Engineer, with strong skills in backend languages like Kotlin, Python, Java, or Go.High Standards for Quality: You take pride in your work and strive to deliver solutions that are not only functional but also maintainable and scalable.BenefitsCompetitive compensation package.Performance-based bonus.Insurance package.Chance to work with many strong people with international experience.