Staff Engineer (Cloudera CDP & Hadoop Administration)
Department:
Job Summary
Requirements
- Experience : 5.5 years
- Hands-on Tier-2 production experience in Cloudera CDP and Hadoop administration.
- Strong experience installing configuring maintaining and troubleshooting Cloudera CDP environments.
- Experience with Cloudera CDP 7.1.9 or later and Cloudera Data Services including versions 1.5.4 and 1.5.5.
- Strong understanding of Hadoop ecosystem components particularly Spark Hive and YARN.
- Proven experience troubleshooting Spark Hive and YARN jobs in production environments.
- Experience optimizing Cloudera cluster performance resource utilization and workload execution.
- Strong understanding of CDP security configuration and implementation of security and regulatory requirements.
- Hands-on experience with automation using Ansible Shell scripting Terraform Groovy and Python.
- Experience building and managing automated CI/CD pipelines and workflows using GitHub Actions Jenkins ArgoCD or equivalent tools.
- Good understanding of GitOps practices and source control using Git.
- Experience with containerization technologies such as Podman Docker Kubernetes and OpenShift/OCP.
- Knowledge of Infrastructure as Code (IaC) concepts and automated infrastructure provisioning.
- Experience implementing observability and monitoring for data platforms and production environments.
- Experience automating security compliance regulatory checks and patching activities.
- Strong Linux administration and basic networking knowledge.
- Experience working in Agile engineering and DevOps-oriented environments.
- Strong troubleshooting analytical and problem-solving skills with the ability to support critical production data platforms.
- Ability to collaborate effectively with data engineers infrastructure teams security teams and other technical stakeholders.
Responsibilities
- Administer install configure maintain and support Cloudera CDP and Hadoop environments in Tier-2 production environments.
- Perform installation configuration upgrades patching and ongoing maintenance of the latest supported Cloudera CDP versions including CDP 7.1.9 or later.
- Configure and implement security requirements across Cloudera CDP environments including automated security and regulatory compliance checks.
- Configure and maintain Cloudera Data Services including versions 1.5.4 1.5.5 and later supported releases.
- Troubleshoot and resolve production issues related to Spark Hive and YARN jobs.
- Monitor and optimize cluster health resource utilization capacity and overall CDP performance.
- Work closely with data engineering teams to troubleshoot and optimize Spark job performance and resource utilization.
- Implement automation for cluster administration operational processes security checks patching and data/analytics workloads.
- Develop automation scripts and infrastructure workflows using Shell Ansible Terraform Groovy and Python.
- Design and maintain CI/CD pipelines and automated workflows for data projects using tools such as GitHub Actions Jenkins and ArgoCD.
- Implement GitOps-based deployment and operational practices for data and analytics platforms where applicable.
- Support containerized Cloudera Data Services using technologies such as Podman Docker Kubernetes and OpenShift Container Platform (OCP).
- Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) practices.
- Implement and maintain observability solutions for Cloudera clusters data services jobs and infrastructure components.
- Perform automated patching and support lifecycle management activities across the platform.
- Collaborate with engineering data infrastructure security and operations teams to resolve production issues and improve platform reliability.
- Maintain source code automation scripts configurations and deployment artifacts using Git-based source control.
- Follow Agile engineering practices and contribute to continuous improvement operational automation and platform standardization.
Qualifications :
Bachelors or masters degree in computer science Information Technology or a related field.
Remote Work :
No
Employment Type :
Full-time
About Company
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