Brief Description
The Technology Center under Viettel Telecom General Corporation (TCT), a branch of the Military Telecommunications Industry Group, is a unit that:
- Applies data analytics results based on Big Data platforms to business problems to increase revenue and create new revenue sources.
- Directly designs and develops software applications serving comprehensive operational and business production activities of TCT across 63 provinces/cities and 10 foreign markets.
- Masters and applies leading technologies (AI, Machine Learning, Deep Learning, Big Data, Cloud, Microservices, …) to projects and software products to completely transform customer experience with products and services and innovate business production operations.
- Pioneers the application of the latest software development tools and processes to automate and optimize software development processes (DevOps, Agile, …).
- A gathering place for leading Data Scientists, Big Data Engineers, Software Engineers with many years of experience in various fields, software design and development engineers who graduated excellently from top universities with the ambition to mark Viettel's IT position in particular and Vietnam's in general on the world IT map.
- A place where opportunities for training, career development, and application of extremely diverse and rich technologies are shared fairly with everyone.
Work location: Floor 42, Keangnam Landmark 72 building, Pham Hung, Tu Liem, Hanoi
Connect with us at: tuyendungcntt@viettel.com.vn
Job Responsibilities
- Build and develop Big Data storage and processing systems
- Build scalable and flexible ETL solutions with high reliability, serving the extraction/ingestion of various types of data (structure, volume, velocity) from multiple sources
- Build and develop data mining tools, data management tools
- Design detailed solutions for data collection, normalization, cleaning, enrichment, storage, processing, analysis and visualization flows for Big Data
- Design detailed solutions for data collection, normalization, cleaning, enrichment, storage, processing, analysis and visualization flows for Big Data
- Coordinate and support Data Scientists in converting machine learning models, algorithms, and data mining into specifications and software designs ensuring they can be efficiently implemented and deployed on distributed computing environments and have good scalability when input datasets grow rapidly
- Design solutions and directly develop foundational modules and libraries with high reusability and broad impact
