Việc làm cho sinh viên Đại học Phú Xuân - Huế

MEGAZONE Vietnam is looking for a highly skilled Snowflake Data Engineer with strong experience in Databricks to join our dynamic global team. The ideal candidate will be responsible for designing, developing, and optimizing large-scale data pipelines, ensuring scalability, performance, and reliability. You will collaborate closely with offshore teams at MEGAZONE CLOUD and external partnersWhat You Will Do:Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver clean, reliable datasets.Design, develop, and optimize scalable data pipelines and ETL/ELT workflows using Databricks and Snowflake.Implement data modeling best practices (dimensional/star schema) in Snowflake.Manage and optimize cloud data warehouse infrastructure (especially in AWS environments).Build data ingestion pipelines from structured and unstructured data sources (e.g., APIs, databases, files, streaming data).Implement and enforce data quality, monitoring, and governance processes.Automate data workflows and job orchestration using tools such as Airflow, DBT, or Databricks Workflows.Contribute to the evolution of our data platform architecture and provide thought leadership on best practices.Mentor junior engineers and review code to ensure best engineering practices are followed.

Identifies and translates business demands/requirements into analytics use cases; manages analytics projects; drives the implementation of solutions across the business and promotes cost effective scalingTrách nhiệm công việc Articulate analytics propositions to business stakeholders, and collaborate with the business to identify and scope new use case opportunities, defines the MVP and protects projects’ scope  Support advanced analytics team by providing clear inputs (e.g. requirements) to them from the business teams; works with analytics teams to confirm assumptions and ensure models and outputs will meet business requirements (alongside the product owner) Lead communication of analytics outputs with executives; act as bridge between management and analytics specialists; share insights with business stakeholders and collects inputs Strategic data driven business partner, supports defining roadmaps, builds the organization-wide analytics capability Kỹ năng & Chuyên môn MSc in a business or quantitative field Proven experience in a product or analytics role Strong communication & structured problem solving skills Experience working in an agile environment (e.g. user stories, iterative development, etc.) Comfortable with building and presenting use cases Works well with technical and management teams Manages projects, milestones and dependencies with ease Able to translate analysis and conclusions into actionable recommendations Comfortable with metrics, measurements and prioritization Experience in the business functional area being assigned to  Required skills: Working knowledge of AI and analytics techniques Deep business knowledge and ability to identify opportunities to add business value Ability to convey business goals to technical teams Excellent communication skills Agile ways of working, project and stakeholder management Preferred skills: Basic ability to build quantitative models Potential candidates: Data analyst Product owner Project manager Digital specialist Phúc lợi dành cho bạn A diverse and open working culture, where your true identity is celebrated. Multiple career opportunities to rotate within Functions or cross-functions. Your wellbeing will be taken care by our Health & Safety Team since Day 1. Be a part of our sustainability journey in Brewing the Better Vietnam. Performance appraisal twice a year to guarantee constructive feedback Performance bonus (estimated at least 3 months) and 13th month salary bonus Bao Viet Insurance for employees and family Annual leave: 18 days/year Flexible benefit voucher 80% lunch in canteen Annual team building, Town hall, YEP Gift for special holidays and sponsor traveling ticket in Tet Holiday Working hours: from Monday to Friday (8h00-12h00,13h00-17h00) Quy trình phỏng vấnVòng 1Screening by phone -> 1st interview with LM: OverviewVòng 22nd interview with LM: Case studyVòng 3Final interview with D&T Director & People Business Partner

ANDPAD Việt Nam is looking for a Senior Golang (Backend) Engineer who can join 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 Golang.Refactoring existing products for microservices.Requirements definition and specification formulation in collaboration with product managers and designersArchitecture design based on requirements, middleware selectionMeasurement of effects for quality improvement and implementation of service improvement measures■ Development environment Infrastructure: AWS, GCP CI/CD：Circle CI / Codebuild DB: Amazon Aurora (MySQL compatible edition), Elasticsearch, DynamoDB Configuration management: Ansible Deploy / Build: CodePipeline, CodeBuild, CircleCI, GitHub Actions IaC: Packer, Terraform Monitoring: Datadog, bugsnag Others: swagger, Docker, ZenHub, Figma, Slack/Jira

Drive product strategy for your product area, partnering with your product development team and cross-functional stakeholders to create and execute the prioritized roadmapDefine OKRs for your product area and hold your team accountable for setting and achieving their OKRsPartner with other team leads and company leadership to ensure that product OKRs and roadmaps are alignedSet an example for your team by leading product vision, roadmap, and customer research for a new data-driven product that is embedded across multiple Ahamove appsManage and support product managers in your product group, providing them with guidance and mentorship to maximize their potential

Giới thiệu:Toàn bộ đội ngũ chúng tôi đảm nhận những tựa game đang được LIVE service và dự án Eternity với một tình yêu chân thành dành cho Mabinogi.Lấy động lực từ quá trình LIVE service không ngừng phát triển, chúng tôi cùng nhau chấp nhận thử thách mới mang tên Eternity, và nuôi dưỡng giấc mơ về một tương lai nơi IP Mabinogi sẽ được nhiều người yêu mến hơn nữa.Chúng tôi mong muốn được cùng các bạn - những ứng viên đang thể hiện năng lực xuất sắc trong từng lĩnh vực - đồng hành và hiện thực hóa giấc mơ ấy. :• Đảm nhận porting live animation của Mabinogi• Tạo các PC ingame animation resource cho tựa game Mabinogi Eternity• Tạo ingame monster animation resource cho tựa game Mabinogi Eternity

Develop and maintain S/W applications for embedded MCU on High Resolution Monitors.Understanding the requirements needed to perform the software development work required by each project.Researching, designing, implementing and managing software programs based on company’s procedures.Execute jobs assigned by Group Leader based on job-demands.

Giới thiệu: Toàn bộ đội ngũ chúng tôi đảm nhận những tựa game đang được LIVE service và dự án Eternity với một tình yêu chân thành dành cho Mabinogi.Lấy động lực từ quá trình LIVE service không ngừng phát triển, chúng tôi cùng nhau chấp nhận thử thách mới mang tên Eternity, và nuôi dưỡng giấc mơ về một tương lai nơi IP Mabinogi sẽ được nhiều người yêu mến hơn nữa.Chúng tôi mong muốn được cùng các bạn - những ứng viên đang thể hiện năng lực xuất sắc trong từng lĩnh vực - đồng hành và hiện thực hóa giấc mơ ấy. :• Rigging và skinning.• Quản lý và setting IK Retargeting trong Unreal engine 5 (UE5)

Trách nhiệm công việc Design, develop, and manage scalable data pipelines and ETL processes using AWS Glue, Lambda, and MWAA (Apache Airflow on AWS). Build and optimize data lakes and data warehouses using Amazon S3, Redshift, Iceberg, and DynamoDB. Integrate and monitor data workflows via SNS, CloudWatch, and Datadog. Design and implement data modeling and storage strategies in MySQL, Oracle, and PostgreSQL. Architect and implement big data platforms with focus on performance, scalability, and maintainability. Collaborate with cross-functional teams to analyze business requirements and translate them into data solutions. Support ongoing operations and resolve data issues involving application-layer and cloud infrastructure. Kỹ năng & Chuyên môn 3+ years of experience in data engineering or big data architecture roles. Strong hands-on expertise in AWS data services: Glue, Lambda, Redshift, S3, DynamoDB, SNS, MWAA, CloudWatch Deep understanding of data lake / data warehouse architecture and data modeling. Experience with MySQL, Oracle, PostgreSQL. Familiarity with Apache Iceberg or similar data lake table formats. Proficiency in monitoring/logging tools such as Datadog. Nice to have Experience in Big Data architecture analysis and design. Proven experience in cloud and resource optimization (cost, performance, scalability). Ability to solve complex, multi-layered issues involving both application logic and cloud infrastructure. Familiarity with Digital Marketing, AdTech, or Customer Data Platforms. Phúc lợi dành cho bạn Attractive salary and bonus will be discussed after going through CV & Interview Review capacity annually and adjust salary increases according to work performance. Health care: Premium health insurance, Annual health check-up Young working environment Good career development opportunities with interesting and challenging projects. English, Korean, technical, soft skills training courses. Opportunity to learn special courses from LG CNS, new technology and security. Gifts on holidays (April 30th - May 1st, September 2nd, Tet, etc.) Outdoor activities with company support: sports clubs, team building, happy hour parties, birthdays, travel, employee and family events, etc. Working hours: 8 hours from Monday - Friday (8 hours/day) Quy trình phỏng vấnVòng 11st interview with VN Senior Leaders (Online/offline meeting room)Vòng 22nd Interview with Kr Senior PM (Online meeting room)