Hadoop Adminintrator

CapgeminiAtlanta, GA
Onsite

About The Position

We are looking for an experienced Hadoop Administrator MapR to manage and support our production-grade MapR Hadoop clusters. The ideal candidate will have hands-on experience running mission-critical, multi-tenant Hadoop environments, ensuring high availability, performance, and security across diverse workloads.

Requirements

  • 4 years of hands-on experience as a Hadoop/MapR Administrator.
  • Strong knowledge of MapR FS, MapRDB, MapR Streams, YARN, Hive, Spark, and Kafka.
  • Experience managing production clusters with high availability requirements.
  • Proficiency in Linux administration (RHEL/CentOS/Ubuntu).
  • Expertise with multi-tenant Hadoop environments, resource governance, and user management.
  • Strong skills in shell scripting, automation, and performance tuning.
  • Experience with monitoring tools (Grafana, Nagios, Prometheus, MapR MCS).
  • Understanding of Hadoop security (Kerberos, SSL, ACLs, AD integration).

Nice To Haves

  • Experience migrating from MapR to other Hadoop distributions (Cloudera, Hortonworks) a plus.
  • Knowledge of Cloud (AWS/Azure/GCP) big data services.
  • Experience with CI/CD pipelines, DevOps tools, or containerized big data workloads.

Responsibilities

  • Manage, monitor, and optimize MapR-based Hadoop clusters in a production environment.
  • Oversee daily operations including cluster health checks, performance tuning, capacity planning, and system upgrades.
  • Perform installation, configuration, patching, and version upgrades for MapR distributions and ecosystem tools.
  • Configure, support, and optimize multi-tenant setups, ensuring isolation, resource fairness, and performance SLAs.
  • Manage YARN queues, ACLs, quotas, and security policies per tenant requirements.
  • Collaborate with data engineering and analytics teams to onboard new tenants and align resource needs.
  • Diagnose and resolve cluster performance issues, bottlenecks, and failures across MapR FS, YARN, Spark, Hive, Kafka, and related services.
  • Manage node failures, job failures, and cluster rebalancing while maintaining uptime.
  • Automate alerting, monitoring, and reporting using tools like MapR Control System (MCS), Grafana, Nagios, Prometheus, or similar.
  • Implement and manage security features such as Kerberos, Ranger/Sentry policies, SSL encryption, and user/role management.
  • Ensure compliance with internal and external standards for data governance and security.
  • Maintain reliable backup and DR strategies using MapR snapshots, mirrors, and failover configurations.
  • Ensure 24/7 availability of production environments and participate in on-call rotation.
  • Develop automation for operational tasks using Python, Shell scripting, or Ansible.
  • Streamline cluster provisioning, monitoring, and deployment pipelines.

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
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