✦ Luna Orbit — Data & Analytics

BigData DevOps Engineer

at Experian

📍 Heredia Remote Posted March 05, 2026
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

Supports Big Data environments by managing Hadoop and AWS EMR clusters, automating infrastructure with Terraform, and ensuring performance, security, and reliability of data platforms.

  • Administer Hadoop and EMR clusters
  • Implement Terraform and IaC
  • Support CI/CD pipelines
  • Monitor cluster health and performance
  • Troubleshoot system issues

Involves Hadoop administration, cloud infrastructure automation, DevOps pipelines, and performance tuning for large-scale data processing environments.

The ideal candidate is a mid-level Big Data engineer with expertise in Hadoop and AWS EMR environments, infrastructure automation with Terraform, and DevOps practices. They are proactive in monitoring and optimizing large-scale data clusters.

Big Data environmentsHadoop administrationAWS EMRTerraformDevOps
Cluster tuningPerformance optimizationCost managementSecurity best practicesMonitoring tools
HadoopAWS EMRTerraformHBaseHDFSYarnKafkaHiveSentryELK
HadoopAWS EMRTerraformIaCCI/CDDevOpsSparkHBaseHDFSYarnKafkaHiveSecurity best practicesCluster tuningMonitoringTroubleshootingBackup and recoveryLDAPSentryELK
HadoopAWS EMRTerraformIaCCI/CDDevOpsSparkHBaseHDFSYarnKafkaHiveSecurity best practicesCluster tuningMonitoringTroubleshootingBackup and recoveryLDAPSentryELK
CollaborationProblem-solvingProactive monitoringTeamworkCommunication
Industry Not specified
Job Function Big Data environment management and optimization
HadoopAWS EMRTerraformIaCCI/CDDevOpsSparkHBaseHDFSYarnKafkaHiveSecurity best practicesCluster tuningMonitoringTroubleshootingBackup and recoveryLDAPSentryELK

Lack of experience with Hadoop or EMR, No knowledge of Terraform or IaC, Inability to troubleshoot cluster issues, No familiarity with DevOps practices

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