We are looking for an experienced Technology Engineer with strong expertise in Cloudera CDP, Hadoop ecosystem, DevOps, OpenShift, and CI/CD to support enterprise Technology Platforms & Data Platforms initiatives.
The ideal candidate should possess hands-on production support experience, platform engineering expertise, automation capabilities, and strong knowledge of containerized data platforms. This role requires ownership of Cloudera platform administration, performance optimization, infrastructure automation, observability, and CI/CD implementation within large-scale enterprise environments.
Requirements
Key Responsibilities
Provide Tier-2 production support for enterprise Cloudera CDP environments.
Install, configure, administer, and maintain Cloudera Data Platform (CDP) clusters.
Perform installation, upgrades, patching, and maintenance of CDP 7.1.9 (or latest versions).
Administer and support Cloudera Data Services (CDS) 1.5.4 / 1.5.5 and latest releases.
Enable and maintain enterprise security controls across Cloudera CDP environments.
Optimize Hadoop cluster performance, resource utilization, and overall platform stability.
Collaborate with Data Engineering teams to optimize Spark workloads and improve application performance.
Troubleshoot and resolve production issues related to:
Spark Jobs
Hive Jobs
YARN Jobs
Support CDP containerization using Cloudera Data Services.
Design, develop, and maintain infrastructure automation for platform operations.
Build and maintain automated CI/CD pipelines for analytics and data engineering workloads.
Automate infrastructure provisioning, deployment, configuration management, and operational tasks.
Implement observability, monitoring, logging, and alerting solutions for platform health.
Automate security, compliance, and regulatory validation processes.
Plan and execute automated patch management across enterprise environments.
Work closely with Infrastructure, DevOps, Security, Data Engineering, and Platform teams to ensure reliable platform operations.
Participate in Agile ceremonies and contribute to continuous engineering improvements.
Required Technical Skills
Cloudera & Hadoop
Strong hands-on experience supporting Cloudera CDP production environments.
Experience with:
Cloudera Data Platform (CDP)
CDP 7.1.9 or latest versions
Cloudera Data Services (CDS) 1.5.4 / 1.5.5
Hadoop ecosystem administration.
Spark administration and performance optimization.
Hive administration and troubleshooting.
YARN administration and troubleshooting.
Cluster installation, upgrades, maintenance, and optimization.
DevOps & Automation
Strong experience with:
Ansible
Shell Scripting
Terraform
Groovy
Python automation
Experience developing infrastructure automation and operational workflows.
CI/CD
Hands-on experience building and managing automated pipelines using:
GitHub Actions
Jenkins
ArgoCD
Experience implementing CI/CD for data engineering and analytics workloads.
Containers & Platform Engineering
Hands-on experience with:
Docker
Podman
Kubernetes
OpenShift (OCP)
Experience deploying and managing containerized data platform environments.
Observability & Monitoring
Experience implementing:
Platform monitoring
Logging
Alerting
Observability frameworks
Performance monitoring
Security & Infrastructure
Experience with:
CDP security implementation
Authentication & authorization
Security hardening
Automated security checks
Regulatory compliance automation
Automated patch management
Operating Systems & Version Control
Linux system administration
Linux networking fundamentals
Git version control
Source code management best practices
Required Competencies
Strong production support experience within enterprise environments.
Excellent troubleshooting and root cause analysis skills.
Strong understanding of distributed data platforms.
Ability to optimize platform performance and reliability.
Strong ownership mindset with focus on operational excellence.
Excellent communication and stakeholder collaboration skills.
Ability to work effectively in Agile engineering environments.
Experience working across Infrastructure, DevOps, and Data Engineering teams.
Strong analytical and problem-solving capabilities.
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