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

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.