BFSI_Big data engineer (Hadoop) - HCL Vietnam

BFSI_Big data engineer (Hadoop)

  • Experience Range: From 3 years
  • Job Location: HCM city
  • Duty & Responsibilities:

    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:

    Provide high operational excellence guaranteeing high availability and platform stability.

    Technical analysis, trouble shooting and fixing the Production Incidents, Problem tickets and Changes

    – Take ownership of (Data processing/Batch Jobs) applications from a Support & Maintenance perspective
    – Work on small enhancements. Analysis, Build/test, Deployment/release support
    – Timely service delivery with effective team handling and stakeholders’ management

  • Reqirements:

    Must requirements:

    – Knowledge in Hadoop ecosystem including Spark, HDFS, MapReduce, YARN,…
    – Good in programming language Python.
    – Experience in monitoring large-scale data processing job (batch-processing, stream processing)
    – Understanding of SLA and meeting Timelines for support activities

    Good to Have:

    – Experience with Hadoop distributions such as Cloudera, HortonWorks, comparison and feasibility
    – Experience with Data warehouse
    – Experience in ETL

    Experience in Data management:

    – Data Quality
    – Data integration
    – Experience in SQL and NoSQL Database
    – Experience with SRE, Patching & Automation: Kubernetes or Docker & Containerization
    – Experience working with Big Data on Cloud environment
    – Experience in Backend development using Java
    – Experience in Data API
    – Good to have Architecture knowledge or experience

  • Benefit:

    – From the 1st day at work: 100% full of salary
    – Insurance plan based on full salary + 13th salary + Performance Bonus.
    – 18 paid leaves per year
    – Medical Benefit for employee and family
    – Working in a fast paced, flexible, and multinational working environment. Chance to travel onsite (in 50 countries).
    – Internal Training (Technical & Functional & English).
    – Working from Mondays to Fridays.

  • Preferred Language for Application: English

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