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EMR Platform Administrator/ Hadoop Admin

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Hybrid

EMR Platform Administrator/ Hadoop Admin

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EMR Platform Administrator/ Hadoop Admin

Skills

Big DataDockerNodePythonJavaAmazon EC2GrafanaAWSPrometheusLinuxKubernetesTomcatHadoopTerraform

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

10 August 2026

What they need


Job Description: Platform Administrator EMR (Hadoop) & Big Data (4–6 Years)
Experience
4–6 years of experience in platform administration, production support, and Big Data ecosystems
Location: Offshore
________________________________________
Role Overview
We are seeking a mid-level Hadoop / EMR Platform Administrator with strong hands-on experience in managing Big Data platforms. The candidate will focus on day-to-day operations, monitoring, troubleshooting, and performance tuning of Hadoop clusters while collaborating with senior engineers on improvements and automation.
________________________________________
Key Responsibilities
Big Data Platform Administration

  • Support and administer AWS EMR (Hadoop ecosystem) clusters
  • Manage Hadoop components: HDFS, YARN, Hive, Spark, MapReduce
  • Perform routine tasks like cluster monitoring, health checks, and job tracking
  • Assist in cluster setup, scaling, and performance tuning
  • Ensure system availability and data reliability
  • Hadoop admins typically handle cluster lifecycle, monitoring, and performance optimization tasks [torchora.com]
    ________________________________________
    AWS & Linux Infrastructure
  • Manage Linux systems (RHEL/CentOS/Ubuntu)
  • Work with AWS services: EC2, S3, IAM, VPC, CloudWatch
  • Perform OS patching, system upgrades, and basic hardening
  • Monitor resource utilization and support cost optimization
  • AWS admins are responsible for resource provisioning, security, monitoring, and troubleshooting in cloud environments
    ________________________________________
    Distributed Systems & Middleware
  • Assist in managing Zookeeper clusters
  • Support Solr / search platforms (basic configuration & troubleshooting)
  • Troubleshoot common distributed system issues (node failures, latency, data inconsistencies)
    ________________________________________
    Application & Services Management
  • Deploy and maintain Apache Tomcat servers
  • Support Java application deployments
  • Perform basic JVM monitoring and log analysis
    ________________________________________
    Monitoring & Automation
  • Use monitoring tools: CloudWatch, Grafana, ELK, Prometheus
  • Monitor cluster health and job execution
  • Automate repetitive tasks using Shell scripting / Python
  • Automation and monitoring are key to maintaining stable and scalable Hadoop environments [torchora.com]
    ________________________________________
    Production Support
  • Provide L2 support with occasional L3 contributions
  • Troubleshoot failures and perform Root Cause Analysis (RCA)
  • Handle tickets, incidents, and service requests
  • Work in on-call rotation
  • Hadoop admins are responsible for troubleshooting, system reliability, and operational support [educba.com]
    ________________________________________
    Required Skills & Expertise
    Core Skills
  • Strong experience in Linux administration
  • Hands-on with AWS EMR and Hadoop ecosystem
  • Knowledge of HDFS, YARN, Hive, Spark
  • Basic understanding of distributed systems
  • Scripting: Shell / Python
  • Familiarity with monitoring tools
    ________________________________________
    Big Data Skills
  • Understanding of:
    o Hadoop architecture
    o Data ingestion (Sqoop / Flume – optional exposure)
    o Job scheduling and execution
  • Hadoop administrators often work with ingestion tools, scheduling, and ecosystem components [velvetjobs.com]
    ________________________________________
    Good to Have
  • Exposure to Docker / Kubernetes
  • Basic knowledge of CI/CD pipelines
  • Familiarity with Terraform / CloudFormation
  • Understanding of ETL processes and data pipelines
    ________________________________________
    Soft Skills
  • Strong troubleshooting and analytical skills
  • Ability to work in production environments under pressure
  • Good communication and collaboration skills
  • Willingness to learn and grow into senior roles
    ________________________________________
    Preferred Qualifications
  • Bachelor’s degree in Computer Science / IT
  • AWS certification (preferred but not mandatory)
  • Exposure to enterprise Big Data platforms

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