Việc làm cho sinh viên Đại học Việt Bắc

Tham gia phát triển web responsive sử dụng HTML5 / CSS / JavaScript / PHP / WordpressSử dụng WordPress xây dựng hệ thống quản trị nội dung (CMS)Thực hiện bảo trì và nâng cấp các website của khách hàngXây dựng và tối ưu hóa ứng dụng website theo chuẩn Google SEO, W3CSử dụng các thư viện jQuery, GSAP, ThreeJS,…

Collect, analyze, and clarify business requirements related to data from internal departments and stakeholders.Translate business requirements into technical specifications for the Data Analyst and Data Engineer teams.Develop and manage documentation: BRD, FRD, Use Cases, Data Flow, Data Mapping.Act as a bridge between business teams and technical teams to ensure products/data meet requirements.Participate in User Acceptance Testing (UAT) and validation of data-driven products.

Expert/ Senior Site Reliability Engineering (Monitoring Engineer / Observability)Design and implement monitoring solutions for enterprise systems across on-premise and AWS cloud environments.Define/update monitoring standards, metrics, and alerts in collaboration with infrastructure and application teams.Maintain and operate observability tools such as Grafana, Prometheus, InfluxDB, Dynatrace, Splunk, and OpenSearch.Act as a key point of contact for projects to advise on monitoring requirements and best practices.Integrate monitoring tools into CI/CD pipelines and incident management workflows.Collaborate with stakeholders across IT, security, operations, and business units to ensure monitoring coverage and visibility.Participate in root cause analysis and post-incident reviews to continuously improve observability practices.

About GHNGiao Hàng Nhanh (GHN) is one of Vietnam’s leading logistics companies, proudly delivering exceptional services with the commitment: “Smarter, Faster, More Cost-Effective.” GHN empowers millions of businesses to optimize their operations while creating thousands of jobs for the Vietnamese workforce.Founded with the mission to revolutionize the logistics industry and guided by a technology-driven vision, GHN continuously integrates advanced technological solutions into every delivery. This enables streamlined operations, enhanced delivery performance, and a fast, safe, and efficient customer experience - serving a wide range of clients including E-commerce platforms, retailers, and individual consumers.With a nationwide network spanning all 63 provinces and cities, a forward-thinking innovation strategy, and robust logistics infrastructure, GHN continues to affirm its position as a pioneer in Vietnam’s rapidly growing E-commerce and logistics sector." Why Join GHN?This is a pivotal opportunity to join a rapidly growing e-commerce delivery leader in Vietnam, where your contributions will directly impact our strategic direction and market position. You will be part of a team that embraces cutting-edge technologies, data-driven innovation & discruption to solve real-world problems and enhance millions of lives. We offer a dynamic and collaborative environment where you can leverage your expertise, grow professionally through challenging projects, and make a significant impact on our success.About the AI & Data TeamAt GHN, our highly motivated AI & Data team is dedicated to establishing GHN as the fastest, most reliable, and convenient delivery service in Vietnam. We achieve this by developing and adopting advanced, data-driven decisions and solutions, making data capability a core business driver for operational efficiency, scalability, and customer trust and happiness.Job SummaryWe are seeking a highly skilled and experienced Senior Data Engineer 2 (S4) to join our dynamic AI & Data team. This pivotal role will be responsible for expanding and optimizing our big data collections and flows, designing scalable data pipeline architectures, and ensuring the robust integration of data for AI/ML-powered applications. The ideal candidate is an expert in big data engineering who thrives on optimizing complex data systems and building foundational infrastructure from the ground up to develop, deliver, and strengthen our AI & Data Platform. This platform is crucial for enabling all GHN’s users - employees, drivers, and customers - through advanced and robust data-driven insights and solutions. The Senior Data Engineer 2 will provide technical expertise, mentor junior team members, and collaborate closely with Data Scientists, ML Engineers, and other cross-functional teams to ensure optimal data delivery architecture and quality for ongoing AI/ML initiatives.Key ResponsibilitiesBig Data Platform Design & Optimization:Design, build, and maintain optimal big data pipeline architectures that are crucial for GHN's AI/ML solutions, ensuring high availability, scalability, and efficiency.Develop robust ETL/ELT solutions for optimal extraction, transformation, and loading of high-quality data from a wide variety of internal and external data sources (e.g., MongoDB, Postgres, e-commerce sites, social platforms).Optimize data writing and reading performance across various database systems and data lakes to support real-time and batch processing requirements.Make technical choices and build systems and tools to manage the entire data lifecycle of large, complex datasets.AI/ML Data Application Integration & Development:Collaborate closely with Data Scientists and ML Engineers to design and implement data solutions that support the development, training, and deployment of AI/ML models (e.g., demand forecasting, logistics optimization, fraud detection, customer segmentation).Oversee and contribute to the integration of AI/ML models into the broader product infrastructure and user experience, ensuring seamless deployment and operation.Develop and implement data pipelines specifically for AI/ML model data preparation, including feature engineering, data enrichment, backfilling, merging, deduplicating, and ensuring data compatibility and format for various model inputs.Data Quality, Governance & Monitoring:Implement and monitor robust data quality frameworks to ensure data accuracy, consistency, and integrity across all data sources, identifying and resolving potential issues proactively.Design and apply data governance solutions (e.g., using Apache Ranger) to manage data access, privacy, and compliance for large-scale projects, including ensuring legal and regulatory adherence.Build and customize metrics for monitoring and alerting tools to support incident detection and ensure the consistency and reliability of data services and pipelines.Technical Expertise & Collaboration:Provide technical guidance and mentorship to junior data engineers, fostering their professional development and promoting best practices in data engineering and AI/ML data readiness.Work closely with cross-functional teams including Data Analysts, Data Scientists, Product Managers, to understand business requirements and translate them into robust, data-driven solutions.Identify, design, and implement internal process enhancements through automation, optimizing data delivery and infrastructure for greater scalability and efficiency.Stay current on published state-of-the-art big data technologies and AI/ML data engineering techniques for continuous platform improvement.

Tham gia với vai trò là Lập trình viên Java, phát triển phần backend của dự án.Hợp tác chặt chẽ cùng các thành viên trong team Scrum để phát triển sản phẩm.Chịu trách nhiệm phát triển các chức năng và đảm bảo chất lượng chung của sản phẩm.Tham gia vào tất cả các khâu trong quá trình phát triển phần mềm: tìm hiểu yêu cầu, phân tích, thiết kế, nghiên cứu công nghệ mới.Xử lý các yêu cầu phức tạp hoặc các vấn đề khó trong dự án.Hỗ trợ và hướng dẫn các thành viên trong team review code

Infrastructure Automation & CI/CDDesign, implement, and maintain CI/CD pipelines for scalable backend and data services.Automate infrastructure provisioning using tools like Terraform, Terragrunt, or Ansible.Integrate automated testing, deployment workflows, and rollback strategies to support agile development.Maintain GitOps practices and CI/CD infrastructure using Jenkins, GitLab, and related tooling.Kubernetes & EKS OrchestrationManage and optimize Kubernetes clusters on AWS (EKS), including node autoscaling, namespace management, and resource allocation.Build, configure, and maintain Helm charts for deployment automation and cluster app lifecycle.Implement best practices for Kubernetes security, multi-tenant isolation, and cluster upgrades.Work with developers to containerize services and deploy them reliably in production.DataOps (Nice to have)Collaborate with data engineers to automate data pipeline deployment using tools like Apache Airflow, ensuring end-to-end scheduling, dependency management, and monitoring of data workflows.Implement and manage transformation pipelines, supporting versioned SQL models, testing, and documentation across environments.Integrate and manage data warehouse platforms, optimized for analytical and operational workloads.Support Metabase as the core business intelligence tool, including integration with data sources, permission management, and dashboard reliability.Ensure data quality, lineage, and observability by collaborating on validation frameworks and metrics integration.Operationalize and maintain databases such as MySQL, PostgreSQL, and streaming/message brokers like Kafka, ActiveMQ, and Redis.Automate and document backup, restore, failover, and disaster recovery strategies for critical infrastructure and data assets.Contribute to the deployment and tuning of data storage solutions (e.g., MinIO, S3) and metadata/catalog tools to enhance discoverability and governance.Cloud Infrastructure ManagementArchitect and manage cloud infrastructure primarily on AWS (including VPC, EC2, EKS, RDS, MSK, ElastiCache).Design high-availability (HA) and fault-tolerant infrastructure for critical backend and data workloads.Support multi-region deployment patterns and network configuration (e.g., DNS, VPN, routing, load balancing).Drive cost optimization efforts in compute, storage, and networking.Monitoring, Logging & Incident ManagementSetup Logging Centralized using EFK (ElasticSearch, Fluentbit, Kibana)Set up monitoring tools (Prometheus, Grafana, ELK, or Datadog) for proactive alerting.Define and enforce SLOs/SLAs for chatbot uptime and response time.Lead incident response and root cause analysis for system failures.Security & ComplianceEnsure best practices in infrastructure security (IAM, VPC, secrets management).Support compliance efforts for data protection (GDPR, SOC2) in chatbot data pipelines.Perform ad-hoc DevOps tasks as required, including emergency patches, incident support, or rapid deployment of security updates.

- Thiết kế, xây dựng, tối ưu cơ sở dữ liệu- Phát triển và bảo trì các quy trình ETL từ nhiều nguồn dữ liệu (OLTP, ODS, Data Warehouse.v.v.)- Lập trình PL/SQL để phát triển các thủ tục, hàm xử lý dữ liệu dưới tầng Database.- Phân tích yêu cầu dữ liệu, xây dựng mô hình dữ liệu (data model), luồng xử lý dữ liệu.- Phát triển báo cáo, dashboard phân tích

You will participate in SERVE project, a business system that supports school management in Japan.Review the product specification.Understand product requirements completely.Create and review testing specifications and test cases according to the schedule.Execute testing tasks according to schedule and make sure of the quality of the product.Track all the bugs and communicate issues to ensure their resolution before project release. 

Who we are?Money Forward is embarking on an exciting new venture in collaboration with Sumitomo Mitsui Financial Group and Sumitomo Mitsui Banking Corporation to explore the provision of BaaS (Banking as a Service) and digital banking solutions. We are seeking a talented Backend Engineer to join our core banking team, which will be at the heart of this initiative.Responsibilities and DutiesAs a Software Engineer in the Core Banking Team, you will leverage Mambu, a leading cloud banking platform for neobanks and challenger banks, to build one of the most reliable and agile banking systems in the industry. Our goal is to shape the future of digital banking in Japan, making it more accessible and user-friendly than ever before.Acquire domain knowledge in digital banking, including deposits, loans, clearing and settlement, basic accounting, domestic exchange, and Zengin network.Actively engage with product owners to define requirements.Develop, test, and deploy code that meets non-functional quality gates such as static code analysis, software composition analysis, SAST, and DAST, while maintaining numerical accuracy.Design and build high-performance, scalable microservices centered around APIs.Pursue test automation and continuous improvement, including API testing.Take responsibility for the entire software development lifecycle.

• Phụ trách bán hàng và quảng bá sản phẩm của công ty, đạt được mục tiêu bán hàng.• Phát triển khách hàng mới, chăm sóc khách hàng hiện hữu, góp phần mở rộng thị phần của công ty.• Bám sát và xử lý kịp thời các khiếu nại của khách hàng nếu có, đảm bảo cung cấp dịch vụ hậu mãi tốt.

Product Vision & Strategy Translate public health needs into a clear product roadmap aligned with GaneshAID’s vision. Define product features and functionality, ensuring alignment with user needs and organizational goals. Stay up to date on AI and digital technology trends, particularly in public health, and drive innovative features leveraging AI where appropriate.  Agile Product Management Own and manage the product backlog for digital applications. Write user stories with clear acceptance criteria. Prioritize features based on impact, urgency, and feedback. Collaborate directly with the development team for refinement and progress tracking.  Quality & Delivery Oversight Ensure that product releases are aligned with business timelines and stakeholder expectations. Monitor product performance and ensure continuous improvement based on user feedback and KPIs. Work closely with QA team to support testing and validation.  User-Centered Design & Documentation Champion UX/UI considerations for user-centric product design. Support the creation and maintenance of both product and business documentation, including user manuals, workflows, requirement specs, and process maps. Stakeholder Collaboration Work closely with the IT Project Manager, CEO, PM team, domain experts, and other business units to capture and refine product requirements. Engage regularly with public health experts, partners, and country teams to validate features and usability.  

Vị trí: Nhân viên kinh doanhLương: Thoả thuận và Hoa hồng theo doanh số.Giới tính: Nam/Nữ có độ tuổi không quá 40.:1. Sản phẩm kinh doanh: Máy bơm cấp thoát nước, bơm PCCC, bơm cho hệ HVAC của hãng Ebara/ Nhật Bản; Bơm PCCC chuyên dụng UL/FM2. Đối tượng khách hàng: Nhà thầu cơ điện, Chủ đầu tư các dự án Xây dựng Tòa nhà cao tầng, Nhà máy khu công nghiệp, Nhà máy cấp nước, Sân bay, Cầu cảng,…Coteccons, Central, REE, Shinryo,….3. Tìm kiếm khách hàng tiềm năng, chào bán các sản phẩm của Công ty và đồng thời xây dựng mối quan hệ bền vững với khách hàng hiện tại4. Triển khai việc bán hàng cho các dự án Công ty đang thực hiên và mở rộng thêm các dự án mới để đạt được doanh số được giao, soạn thảo báo giá gửi khách hàng, chuẩn bị hồ sơ chào thầu, chào giá, đàm phán và theo dõi thực hiện hợp đồng.5. Triển khai thực hiện các chính sách của Công ty tới khách hàng. Phối hợp với bộ phận liên quan thực hiện việc giải quyết khiếu nại của khách hàng.Theo dõi xu hướng của thị trường và thông tin về đối thủ cạnh tranh

Triển khai thu thập và phân tích sự kiện rủi ro công nghệ, rủi ro ngân hàng sốRà soát góp ý với các quy định và quy trình, sản phẩm……. trong lĩnh vực CNTT, sản phẩm áp dụng CNTTXử lý, làm sạch và đảm bảo chất lượng dữ liệu sử dụng cho phân tích.Thực hiện thống kê mô tả, thông kê suy luận (descriptive & inferential statistics), đưa ra các ý tưởng từ dữ liệu để nhận diện, giám sát rủi ro CNTT, DigitalTrình bày các ý tưởng và đề xuất phương án để nâng cao công việc quản trị rủi ro mảng công nghệ.Xây dựng các chỉ số, thiết kế dashboard theo dõi rủi ro CNTT, Digital trọng yếu.Xây dựng các giải pháp, lên kế hoạch thử nghiệm để giải quyết các rủi ro được nhận diện."

ANDPAD Vietnam is seeking a Senior Frontend Developer (ReactJS/VueJS) who can join to our team and develop the application in cooperation with the product manager, working in the form of Squad, a small team can quickly and consistently engage in everything from design to development, testing and operation.Also, there are a lot of opportunities to work with new languages ​​and FWs other than the main language in an international environment. ■ Job ScopeDesign and implementation function of the product in charge using ReactJS/VueJSImplement UI and improve UX close to the customer's business to realize DX promotionRequirements definition and specification formulation in collaboration with product managers and designersReview the design, programming of other engineers■ Development environmentPrograming: TypeScript/HTML/CSSFramework: VueJS, NuxtJS, ReactJS, NextJSInfrastructure: AWS/GCPCI/CD: Circle CI/Bitrise/GitHub ActionsKnowledge Tool: Confluence/esaVCS: GitHubOthers: Slack/Jira/Trello

Duties & Responsibilities:• Maintain and service existing accounts• Add new accounts and grow user/installation base• Plan and execute sales, marketing and training programs to meet revenue and performance goals• Respond to projects as well as sales enquiries with prompt and effective follow-up• Sales presentations, demonstrations, tender and proposal preparation, and closing of Sales• Work closely with Project, Product and Service teams to maximize market potential as well as to ensure customer satisfaction• Keeping abreast of competitor products and activities

Collect, process, and analyze data from multiple sources (DB, API, file logs, etc.).Build dashboards and analytical reports, providing insights to support business decision-making.Write SQL queries to extract data from the Data Warehouse/Data Lake.Collaborate with Business Analysts to understand business requirements and translate them into reports or analytical outputs.Ensure data quality, detect errors or anomalies.Identify trends, anomalies, and new opportunities from data.Develop advanced analytical models using Python/R (e.g., forecasting, classification, customer segmentation).

Company InformationFounded in 2018, Data Nest is a dynamic and innovative company specialising in credit scoring, lead generation services and other products. By harnessing the power of Data Analytics and AI, we help finance companies to reduce their credit loss, to widen their consumer base, and to fasten their release of new financial services.We aim to transform the financial landscape through the strategic application of data analytics and AI and make a better society where financial services are accessible for everyone.Are you ready to be part of a dynamic and passionate team at the forefront of revolutionising the financial industry? Look no further – Data Nest is the place to be!Why Choose Data Nest?Market-Leading Benefits:At Data Nest, we believe that our success is fueled by the talent and dedication of our team members. That's why we're proud to offer top-notch benefits that set us apart from the rest!Innovation at its Core: We're not just another company; we're a hub of innovation, where your ideas are valued, and your creativity is encouraged.Exciting Challenges: We tackle challenges head-on and view them as opportunities for growth. Join us in solving complex problems and pushing the boundaries of what's possible in the world of data analytics and AI.Apply now - Your future start here !A. JOB DESCRIPTIONWe are looking for innovative data scientists to build and evolve our leading financial products. You will work with a team of young and talented scientists and engineers to build robust and scalable data models using big data pipelines, conduct advanced research in implementing state-of-the-art ML and AI techniques, build high-quality data services that are both real-time and batch-based.B. RESPONSIBILITIESDevelop our extensive range of products such as Credit Score, Fraud Score, Income Score, Lead Generation, etc.Utilize robust Big Data platform and powerful computation clusters to perform your day-to-day tasks of analysis, modeling, feature engineering, deployment and monitoring.Work with broad categories of structured and unstructured data such as tabular, text, media, etc. to improve ML models.Experience full MLOps practices: streamlined data pipeline, deployment, feature monitoring, model performance monitoring, business integration.Mentor Junior Data Scientists and provide them with practical guidance, as needed.Partner with business stakeholders to translate business challenges into data science projects with measurable outcomes.Communicate insights effectively to both technical and non-technical stakeholders.Define team goals, manage project timelines, and ensure delivery of high-quality, business-impactful outcomes.Collaborate cross-functionally teams to align data science initiatives with company strategy.Drive adoption of best practices, innovation, and continuous improvement within the Data Science team

Phối hợp cùng team phát triển sản phẩm để xây dựng dự án SenHub - AI Print on Demand, nền tảng sử dụng AI trong việc thiết kế các sản phẩm POD bán ở thị trường toàn cầu.Nhận bài toán từ PM/PO, đưa ra nghiệp vụ, thiết kế UI/UX trên figmaTrao đổi với các bạn trong developer team về nghiệp vụ, giải thích các thắc mắc nếu cóCùng với PM nghiệm thu lại kết quả sau khi developer team hoàn thànhHỗ trợ PO tìm hiểu thị trường, các tính năng trên product của đối thủ để cải tiến product của mình