* YOUR CHALLENGES:
- Proactively collaborate with data users to understand data requirements, build and deploy optimized data solutions
- Define strategies for data infrastructure to fulfill data analytic and utilization needs of the organization
- Ensure data assets are organized and stored most efficiently for mining purposes
- Manage and drive the upgrades to systems and storage to accommodate business and product requirements for data operations
- Design, build and maintain optimized data pipelines and ETL/ELT solutions as business support tools in providing analysis and real- time analytics platform for critical decision making.
- Design and deliver data infrastructure and functionalities with the most suitable technologies for data analysts, data scientists, and other business roles to monetize data and fulfill the strategy of VNPAY
- Strategically explore and obtain data and information from various sources within the ecosystem and external partners into VNPAY’s core platform
- Strategically explore and obtain data and information from various sources within the ecosystem and external partners into VNPAY’s core platform
- Evaluate current complex data architecture in the organization and identify mandatory improvements
* YOUR SKILLS AND EXPERIENCE:
- Workded with HyperLogLog algorithm is a plus
- Basic knowledge of searching and sorting algorithms.
- Experience working in Agile teams to lead successful innovative projects with a cross- functional team
- Experience architecting, coding, and delivering high- performance microservices and/or delivering solutions serving millions of users
- Worked with Docker, Kubernetes, Google Bigquery, Cassandra is a plus
- Good at 1 of these 3 programming languages: Java, Scala, Python
- Worked with bigdata eco- system: Hadoop, Spark, Kafka, Nifi, Airflow, Flink, Kafka, Hive, Delta Lake
- Understanding of Information Security principles to ensure compliantly
- Deep experiences in optimizing ETL tasks, designing and building dimensional data models
- Worked with NOSQL databases: Mongo, Redis and SQL databases: oracle, Postgres
* WHY YOU&039;LL LOVE WORKING HERE:
- Time work: Mon- Fri (8:00- 17:30)
- Comfortable working conditions
- Performance review each year and salary adjustment based on job performance
- Negotiable salary according to qualification + Performance Bonus
- Healthcare: Annual health check- up, Premium Health Insurance for Employee and Family
- Free breakfast, Lunch allowance, Beauty allowance
- Good career growth opportunities with interesting and challenging projects;
- Outdoor activities with company support: sports clubs, team building, year end party
* Cách thức ứng tuyển:
Bước 1: Điền thông tin và đính kèm CV tại bảng Ứng tuyển bên dưới.
Bước 2: Đọc kỹ nội dung và xác nhận “Đồng ý” với Chính sách bảo vệ dữ liệu cá nhân dành cho Ứng viên của VNPAY trên màn hình ứng tuyển
Lưu ý: Đối với Ứng viên "Từ chối" Chính sách bảo vệ dữ liệu cá nhân trên, VNPAY sẽ không có căn cứ để xét duyệt hồ sơ của bạn
* Chúng tôi sẽ liên hệ qua điện thoại với những
CV phù hợp trong vòng 7 ngày làm việc
kể từ ngày ứng tuyển.
*
Thông tin liên hệ: Ms Ly- P. Nhân sự
Tel: 024 3776 4668 (bấm 264)
Fanpage: https://www.facebook.com/TuyendungVNPAY
Add: 22 Láng Hạ, Đống Đa, Hà Nội