Data Engineer /Data Scientist

Building toolsets/frameworks to manage, integrate with the various data sources, provide an efficient way for data science and business team exploring the data
Research, design and develop the data processing pipeline for real-time analytics dashboard and monitor our infrastructure and OTT services (FPT PLAY, FPT Camera,..)
Evaluate and develop new technologies/solutions to make our infrastructure more reliable, high availability
Build high performance data warehouse, BI platform for data analytics, handle high volume of streaming data (terabytes per day)
Using Spark, SQL, Hadoop to manipulate data pipeline, improve and extend fault-tolerant pipelines to integrate large amounts of data from many diverse storage systems, databases
Working with data scientist in the design of machine learning models, analysing our customer behavior, improve user experiences

Opportunity to support almost all of the business lines in the company
Great opportunity to dive deeply into a big data system with high volum of data in challenging domains
Challenging working environment, open for new ideas and solutions
We often conduct presentations to improve our individual skill sets, sharing our domain knowledge together
You are encouraged to contribute ideas, corporate with the others and get your ideas to work efficiently
Unique culture with many exciting activities: rookie training, 72 hours experience, team building, village festival, club, color fest, happy hour, birthday celebration,..
Best employees are awarded a company-sponsored overseas trip every year
Obtaining full legal insurance coverage with FPT-Care (official employee)

Experience in software engineering and distributed system architecture design
Having knowledge & experience of Hadoop Ecosystem (Spark, Hadoop, Druid, Clickhouse, ELK,..)
Strong at object-oriented analysis and design
Strong experience in designing data-intensive systems with Lambda / Kappa Architecture
Proficiency in programming languages: Java, Scala, Python,..
Strong experience with Networking & Linux system
Experience in large scale deployment and performance tuning
Experience in project management, good time management, communication and teamwork skills