Big Data Engineer

- 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
- Build high performance data warehouse, BI platform for data analytics, handle high volume of streaming data (terabytes per day)
- Research, design and develop the data processing pipeline for real-time analytics dashboard and monitor our infrastructure and OTT services
- Building toolsets/frameworks to manage, integrate with the various data sources, provide an efficient way for data science and business team exploring the data
- Evaluate and develop new technologies/solutions to make our infrastructure more reliable, high availability
- Working with data scientist in the design of machine learning models, analysing our customer behavior, improve user experiences

- Good at problem solving, algorithms, data structures, functional programming, design pattern
- Good knowledge of SQL, database systems
- Basic knowledge of Linux and operating system
- Experience with programming, ideally Scala, Java or Python,..
- Constantly challenge yourself, upgrade yourself every day
For senior:
- Experience working on a large scale deployment and performance tuning
-Having knowledge & experience of Hadoop Ecosystem (Spark, Hadoop, Druid, Clickhouse, ELK,..)
- Strong at object-oriented analysis and design
- Experience with networking & Linux system

- Thưởng KPI, tháng 13, thưởng kinh doanh....
- Bảo hiểm chăm sóc sức khỏe FPT Care
- Du lịch hàng năm

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