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Popular data-engineer demand tempered by specialized Cloudera/big-data platform and automation requirements.
High because enterprise Cloudera production and banking regulatory automation require specialized platform experience.
High due to explicit 8+ years requirement and many mandatory big-data platform and automation technologies.
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Implement design, build, and maintenance of Cloudera Data Platform (CDP) including installation, configuration, and optimization of cluster performance.
Drive automation and self-service onboarding for data projects using tools like Ansible, Terraform, Jenkins, GitHub Actions, and container technologies (Docker, Kubernetes/OpenShift).
Collaborate with platform and product teams to educate and ensure optimal transition and consumption of the platform and its services.
At least 8 years hands-on technology experience including 4+ years production Hadoop experience.
Hands-on Tier-2 production experience with Cloudera including installation, maintenance, and performance optimization.
Proficiency in automation scripting (Shell, Groovy, Python), CI/CD pipelines, containerization (Docker, Podman), and container management (Kubernetes/OpenShift).
Work Experience Required: 8+ years relevant technology experience, with at least 4 years in production Hadoop environments.
Experienced in managing large-scale, high-availability Hadoop/Big Data environments with enterprise-level reliability and observability.
Strong automation focus with proven ability to build and optimize CI/CD pipelines and infrastructure as code in an Agile/DevOps setting.
Able to balance operational support and project delivery from inception to deployment with pragmatic decision-making on cost, time, and quality.