10 Storage Consultant jobs in Vietnam
VNG Cloud, Senior System Engineer (Storage)
Posted 7 days ago
Job Viewed
Job Description
- Tham gia vào việc xây dựng dịch vụ Object Storage, Database và các dịch vụ khác cho VNG Cloud li>Nghiên cứu, đánh giá và triển khai các giải pháp về tối ưu hóa hiệu suất, tăng khả năng mở rộng (scale), cung cấp các giải pháp ổn định hệ thống, HA, monitoring, upgrading,. cho các hệ thống ở trên
- Nghiên cứu, đánh giá và triển khai các dịch vụ, p ần mềm trên nền Kubernetes
- Tự động hoá và luôn cải thiện hệ thống với kĩ năng lập trình hoặc sử dụng các công cụ vận hành, quản lý cấu hình, v.v.
VNG Cloud, Senior System Engineer (Storage)
Posted 12 days ago
Job Viewed
Job Description
- Tham gia vào việc xây dựng dịch vụ Object Storage, Database và các dịch vụ khác cho VNG Cloud li>Nghiên cứu, đánh giá và triển khai các giải pháp về tối ưu hóa hiệu suất, tăng khả năng mở rộng (scale), cung cấp các giải pháp ổn định hệ thống, HA, monitoring, upgrading,. cho các hệ thống ở trên
- Nghiên cứu, đánh giá và triển khai các dịch vụ, p ần mềm trên nền Kubernetes
- Tự động hoá và luôn cải thiện hệ thống với kĩ năng lập trình hoặc sử dụng các công cụ vận hành, quản lý cấu hình, v.v.
Data Management
Posted today
Job Viewed
Job Description
Tracking data input to the Cello system (FIS/VMS)
Communication with other branches operators (within Vietnam and overseas, if any)
Operation job is conducted based on standard operation process(SOP) and logistics IT system (in-house developed system including FIS/VMS)
Follow up and conduct relevant jobs: system input, tracking data management, info/data verification
Report to the group leader if any issue(technical, operational) occurs
Daily check and update of tracking data
Data input to in-house logistics system(FIS/VMS, etc) in order to secure timely and accurate tracking data management
Understand the basic flow of current FIS outbound/inbound operation, govern data management tasks partly
Support drafting materials in relation to data management
Provide supportive data and information
Regular & spot report to Group Leader, if any
**Requirements**:
Bachelor Experience in logistics preferred (but not necessary),
Fresh Graduate Student has accepted
Int'l freight logistics operation knowledge (in/outbound) is preferred (but not necessary)
Proficiency in computer and MS Office
Intermediate skills in English (Written, Speaking, Reading)
Able to work under high pressure and frequent OT
Proactive, creative, problem-solving, and analytic skills
**Benefits**:
Contact Information
**Nguyen Ngoc Thien Thanh** at this number
**
Tech & Data Management Associate (18-month Fast
Posted today
Job Viewed
Job Description
Techcombank
- Ứng Tuyển
Cloud Python NoSQL
- Đăng nhập để xem mức lương
- C5 Building Tower, D’Capitale Tower, 119 Tran Duy Hung, Cau Giay, Ha Noi- Xem bản đồ- Số 6 Quang Trung, phường Trần Hưng Đạo, Hoan Kiem, Ha Noi- Xem bản đồ- Tại văn phòng- 11 giờ trước
**3 Lý Do Để Gia Nhập Công Ty**:
- Top-tier banking environment in Vietnam
- Challenging opportunities for the “Greater” You
- Attractive career path and benefits
**Mô Tả Công Việc**:
**Tech Associate**
Rotate among all projects to understand your strengths before select your ideal areas to develop further
+ Software development
+ IT Security
+ IT Infrastructure operation and management
+ QA/QC
+ Enterprise Architecture
+ Project Management
**Data Associate**
Rotate among all projects to understand your strengths before select your ideal areas to develop further
+ Analysis and Reporting
+ Data Solutioning
+ Data Architecture
+ Data Integration
+ Project Management
**Yêu Cầu Công Việc**:
**Tech Associate**
- A Bachelor's degree in Computer Science, Information Technology, Software Engineering or relevant fields;
- Understanding of ANY OF programming languages (e.g. Java,.NET, Python); message standards (e.g. SOAP, JSON); & configuration and managing databases (e.g. MySQL, Mongo);
- Basic knowledge of one or multiple technical tools; open-source technologies; cloud services; Network Security, Application Security, Security Assessment and penetration testing; Audit & Compliance; & Security Operation Center;
- Basic awareness of DevSecOps and Agile's critical concepts;
- Proficient in spoken/ written English and passionate in IT.
**Data Associate**
- A Bachelor's degree in Mathematics, IT, Computer Science, Statistics, Software Engineering or relevant fields;
- Understanding of ANY OF big data technologies (e.g. Cloud, Spark, Flink, Kafka, Arrow, Tableau), or Database technologies (e.g. SQL, NoSQL, Graph databases), or (BI) tools (e.g. Tableau, QlikView, Spark);
- Understanding of ANY OF programming languages (e.g. Python, R, Java, Kotlin, C, C++, etc.);
- Basic understanding of machine learning;
- Proficient in spoken/ written English and passionate in DA.
**Tại Sao Bạn Sẽ Yêu Thích Làm Việc Tại Đây**:
- Outstanding salary starting at $1000 in the first month
- 18-month fast track career with various initiative strategic projects with over $300-million investment in DA/IT;
- Top-notch learning opportunities with world-wide learning partners (Eg: AWS, Franklin Covey, etc.)
- Opportunity to work directly and be mentored by global leading professionals who are senior leaders at Techcombank;
- Be the Key Talents at Techcombank under Key Talent Program with strong investment to accelerate your career and many other exceptional benefits;
- Opportunity for Reverse Mentoring - be the mentors for the heads/ senior leaders of Techcombank to share insights about gen Z.
Data Scientist - Portfolio Management
Posted today
Job Viewed
Job Description
Trusting Social
- Ứng Tuyển
Data Analyst Business Analyst
- Đăng nhập để xem mức lương
- Havana Tower - 132 Ham Nghi, District 1, Ho Chi Minh- Xem bản đồ- Tại văn phòng- 1 ngày trước
**3 Lý Do Để Gia Nhập Công Ty**:
- Top Salary, Awesome Benefits
- Premium healthcare for 3 members in family
- Grab to work, Lunch allowance for all employee
**Mô Tả Công Việc**:
**Responsibilities**:
- Developing and implementing credit risk models and analytical tools to assess portfolio performance, credit risk, and profitability.
- Analyzing and interpreting data to identify trends, patterns, and insights that drive portfolio management decisions.
- Conducting ad-hoc analysis and data mining to support portfolio optimization and strategy development.
- Collaborating with business stakeholders to understand their needs and requirements, and to develop and implement solutions that meet their needs.
- Creating and maintaining reports and dashboards that provide insights into portfolio performance and key performance indicators (KPIs).
- Designing and conducting A/B tests to evaluate the impact of new portfolio strategies and tactics.
- Maintaining up-to-date knowledge of industry trends, best practices, and regulatory requirements related to credit card portfolio management.
- Communicating complex analytical findings and recommendations to non-technical stakeholders, including senior management.
- Mentoring and coaching junior analysts and data scientists on the team.
- Partnering with data engineers and other technical teams to ensure data quality, availability, and scalability.
- Conducting competitive research to stay informed of market trends, customer preferences, and emerging technologies that may impact the credit card portfolio.
- Perform highly complex activities related to financial products, business analysis, and build dashboards for portfolio monitoring.
- Utilize statistical and machine learning techniques to identify patterns and trends in financial data
- Develop and implement data-driven investment strategies that optimize portfolio performance
**Yêu Cầu Công Việc**:
**Requirements**:
- Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred
- Strong knowledge and hands-on experience on machine learning, or statistics and experimentation
- Results oriented with strong analytical and problem solving skills
- Good business acumen with strong ability to solve business problems through data driven quantitative methodologies
- The ability to communicate results clearly to technical and non-technical audiences
- Demonstrated ability to research and innovate solutions to solve business problems
- Experience in bank related products such as unsecured personal loans and credit card is preferred
**Tại Sao Bạn Sẽ Yêu Thích Làm Việc Tại Đây**:
**What we offer**:
- Competitive compensation package, including 13th-month salary and performance bonuses
- Comprehensive health care coverage for you and your dependents
- Generous leave policies, including annual leave, sick leave, and flexible work hours
- Convenient central district 1 office location, next to a future metro station
- Onsite lunch with multiple options, including vegetarian
- Grab for work allowance and fully equipped workstations
- Fun and engaging team building activities, sponsored sports clubs, and happy hour every Thursday
- Unlimited free coffee, tea, snacks, and fruit to keep you energized
- An opportunity to make a social impact by helping to democratize credit access in emerging markets.
Data Scientist - Portfolio Management
Posted 7 days ago
Job Viewed
Job Description
Responsibilities
The ideal candidate will have a passion for utilizing data and analytics to optimize portfolio performance. The successful candidate will be responsible for analyzing large datasets, developing predictive models, and generating actionable insights for credit card portfolio management.
- Developing and implementing credit risk models and analytical tools to assess portfolio performance, credit risk, and profitability. li>Analyzing and interpreting data to identify trends, patterns, and insights that drive portfolio management decisions.
- Conducting ad-hoc analysis and data mining to support portfolio optimization and strategy development.
- Collaborating with business stakeholders to understand their needs and requirements, and to develop and implement solutions that meet their needs.
- Creating and maintaining reports and dashboards that provide insights into portfolio performance and key performance indicators (KPIs).
- Designing and conducting A/B tests to evaluate the impact of new portfolio strategies and tactics.
- Maintaining up-to-date knowledge of industry trends, best practices, and regulatory requirements related to credit card portfolio management.
- Communicating complex analytical findings and recommendations to non-technical stakeholders, including senior management.
- Mentoring and coaching junior analysts and data scientists on the team.
- Partnering with data engineers and other technical teams to ensure data quality, availability, and scalability.
- Conducting competitive research to stay informed of market trends, customer preferences, and emerging technologies that may impact the credit card portfolio.
- Perform highly complex activities related to financial products, business analysis, and build dashboards for portfolio monitoring.
- Utilize statistical and machine learning techniques to identify patterns and trends in financial data
- Develop and implement data-driven investment strategies that optimize portfolio performance
Data Scientist - Portfolio Management
Posted 7 days ago
Job Viewed
Job Description
Responsibilities
The ideal candidate will have a passion for utilizing data and analytics to optimize portfolio performance. The successful candidate will be responsible for analyzing large datasets, developing predictive models, and generating actionable insights for credit card portfolio management.
- Developing and implementing credit risk models and analytical tools to assess portfolio performance, credit risk, and profitability.
- Analyzing and interpreting data to identify trends, patterns, and insights that drive portfolio management decisions.
- Conducting ad-hoc analysis and data mining to support portfolio optimization and strategy development.
- Collaborating with business stakeholders to understand their needs and requirements, and to develop and implement solutions that meet their needs.
- Creating and maintaining reports and dashboards that provide insights into portfolio performance and key performance indicators (KPIs).
- Designing and conducting A/B tests to evaluate the impact of new portfolio strategies and tactics.
- Maintaining up-to-date knowledge of industry trends, best practices, and regulatory requirements related to credit card portfolio management.
- Communicating complex analytical findings and recommendations to non-technical stakeholders, including senior management.
- Mentoring and coaching junior analysts and data scientists on the team.
- Partnering with data engineers and other technical teams to ensure data quality, availability, and scalability.
- Conducting competitive research to stay informed of market trends, customer preferences, and emerging technologies that may impact the credit card portfolio.
- Perform highly complex activities related to financial products, business analysis, and build dashboards for portfolio monitoring.
- Utilize statistical and machine learning techniques to identify patterns and trends in financial data
- Develop and implement data-driven investment strategies that optimize portfolio performance
Be The First To Know
About the latest Storage consultant Jobs in Vietnam !
Data Scientist - Portfolio Management
Posted 19 days ago
Job Viewed
Job Description
Responsibilities
The ideal candidate will have a passion for utilizing data and analytics to optimize portfolio performance. The successful candidate will be responsible for analyzing large datasets, developing predictive models, and generating actionable insights for credit card portfolio management.
- Developing and implementing credit risk models and analytical tools to assess portfolio performance, credit risk, and profitability. li>Analyzing and interpreting data to identify trends, patterns, and insights that drive portfolio management decisions.
- Conducting ad-hoc analysis and data mining to support portfolio optimization and strategy development.
- Collaborating with business stakeholders to understand their needs and requirements, and to develop and implement solutions that meet their needs.
- Creating and maintaining reports and dashboards that provide insights into portfolio performance and key performance indicators (KPIs).
- Designing and conducting A/B tests to evaluate the impact of new portfolio strategies and tactics.
- Maintaining up-to-date knowledge of industry trends, best practices, and regulatory requirements related to credit card portfolio management.
- Communicating complex analytical findings and recommendations to non-technical stakeholders, including senior management.
- Mentoring and coaching junior analysts and data scientists on the team.
- Partnering with data engineers and other technical teams to ensure data quality, availability, and scalability.
- Conducting competitive research to stay informed of market trends, customer preferences, and emerging technologies that may impact the credit card portfolio.
- Perform highly complex activities related to financial products, business analysis, and build dashboards for portfolio monitoring.
- Utilize statistical and machine learning techniques to identify patterns and trends in financial data
- Develop and implement data-driven investment strategies that optimize portfolio performance
Data Scientist - Portfolio Management
Posted 19 days ago
Job Viewed
Job Description
Responsibilities
The ideal candidate will have a passion for utilizing data and analytics to optimize portfolio performance. The successful candidate will be responsible for analyzing large datasets, developing predictive models, and generating actionable insights for credit card portfolio management.
- Developing and implementing credit risk models and analytical tools to assess portfolio performance, credit risk, and profitability. li>Analyzing and interpreting data to identify trends, patterns, and insights that drive portfolio management decisions.
- Conducting ad-hoc analysis and data mining to support portfolio optimization and strategy development.
- Collaborating with business stakeholders to understand their needs and requirements, and to develop and implement solutions that meet their needs.
- Creating and maintaining reports and dashboards that provide insights into portfolio performance and key performance indicators (KPIs).
- Designing and conducting A/B tests to evaluate the impact of new portfolio strategies and tactics.
- Maintaining up-to-date knowledge of industry trends, best practices, and regulatory requirements related to credit card portfolio management.
- Communicating complex analytical findings and recommendations to non-technical stakeholders, including senior management.
- Mentoring and coaching junior analysts and data scientists on the team.
- Partnering with data engineers and other technical teams to ensure data quality, availability, and scalability.
- Conducting competitive research to stay informed of market trends, customer preferences, and emerging technologies that may impact the credit card portfolio.
- Perform highly complex activities related to financial products, business analysis, and build dashboards for portfolio monitoring.
- Utilize statistical and machine learning techniques to identify patterns and trends in financial data
- Develop and implement data-driven investment strategies that optimize portfolio performance
Data and Ai Product Management
Posted today
Job Viewed
Job Description
- Top-notch professionals from around the world are joining the Verticurl team for:_
- _Opportunities to join a fast-growing global organization that specializes in MarTech_
- _Flexibility to show off your MarTech muscle and sharpen your digital marketing technology skills_
- _Recognition and appreciation for hard work, smart thinking, and expertise_
We are seeking a highly motivated and experienced Product Manager to join our team. In this role, you will be responsible for driving innovation leveraging your expertise in AI and Data-driven product development. You will work closely with our Digital Transformation and Innovation leader responsible for bringing innovation to clients, people, and communities.
**Responsibilities**:
- Drive the ideation, design, and development of MVPs by collaborating with cross-functional teams such as engineering, design, and business development
- Conduct data analysis and gather insights to identify customer needs and pain points, and translate them into product requirements and user stories
- Define and prioritize product features and enhancements, and develop product roadmaps to ensure timely delivery of high-quality AI and data-driven products
- Ensure that the product vision and strategy align with the company's business objectives and goals, with a focus on AI and data-driven solutions
- Collaborate with designers to create intuitive and visually appealing user interfaces and experiences that leverage AI and data
- Work with engineering teams to define and implement AI and data-driven product features and ensure that they meet quality standards
- Lead AI and data-driven product launches and develop go-to-market strategies to drive user adoption and growth
- Conduct competitive analysis and stay up-to-date with industry trends to identify new AI and data-driven product opportunities
**Requirements**:
- Over all 10 plus years experience working with cross-functional teams and leading product development from ideation to launch
- Strong understanding of user-centered design principles and methodologies, and experience conducting user research
- Experience in driving innovation MVP builds leveraging design skills, UX, design thinking and product management background. Excellent communication and collaboration skills, and ability to work effectively with stakeholders at all levels
- Experience with AI and data-driven product development, including data analysis, machine learning, and natural language processing (NLP)
- Ability to leverage AI and data-driven solutions to drive innovation and create differentiated value for clients, people, and communities
- Technical and business acumen to evaluate opportunities with internal and external partners and drive results through data-driven insights
- Able to thrive in an ambiguous environment and be agile in execution.