Hadoop Adminintrator

Capgemini • Atlanta, GA

12h • Onsite

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. 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 MapRFS, 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
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed