Top 3 Reasons To Join Us
Attractive Salary and Performance Bonus
Health Care for Employees & Family, 18 paid leaves
Chance to travel onsite (in 53 countries)
The Job
This is a development project. As a Hadoop Big Data Engineer, you will operate and monitor scalable and resilient data platform based on Hadoop ecosystem to address the business requirements:
- Engineer reliable data pipelines for sourcing, processing, transforming, enriching and storing data in different ways, using data platform infrastructure effectively
- Ingest and transform data sets from a variety of data sources
- Focus on ingesting, storing, processing, and analyzing large datasets
- Create scalable, high-performance web services for tracking data
- Using Java (Spring Boot framework) for development tasks
Your Skills and Experience
MAIN REQUIREMENTS
Must requirements:
- Must have 4+ years of experience at a similar role
- Having hands on experience in Hadoop ecosystem (on-prem) including Spark, HDFS, MapReduce, YARN, ...
- Good in programming language Python.
- Experience in monitoring large-scale data processing job (batch-processing, stream processing)
- Having a background of software developing on Java Spring Boot
- Ability to use English well at work (from 750 Toeic)
Good to Have:
- Experience with Hadoop distributions such as Cloudera, HortonWorks, comparison and feasibility
- Experience with Data warehouse and Data management: Data Quality, Data integration
- Experience in ETL, SQL and NoSQL Database
- Experience with SRE, Patching & Automation: Kubernetes or Docker & Containerization
- Experience working with Big Data in a Cloud environment
- Experience in Data API
- Good to have Architecture knowledge or experience.
Why You'll Love Working Here
- Attractive package including base salary + 13th month salary + Performance Bonus
- Insurance based on full base salary
- 100% of full salary and benefits as an official employee from the 1st day of working
- Medical Benefit (Bao Viet Insurance Package) for Employee and Family
- 18 paid leaves per year
- Working in a fast paced, flexible, and multinational working environment with opportunity to travel onsite (in 49 countries)
- Internal Training (Technical & Functional & English)
- Working time: 8:30 am-6:00 pm from Mondays to Fridays
- Career development in a giant tech group just entering Vietnam market
