Description

You will own the administration, support, and automation of tools within the Data private cloud.

This role is remote.

Responsibilities

• Administer and support data platform tools including CDP, HWX, and MapR.
• Install, configure, and maintain data analytical and virtualization tools such as Dremio, JupyterHub, and AtScale across multiple clusters.
• Develop proof-of-concept solutions leveraging CDP and OCP technologies.
• Create automation scripts for the configuration and maintenance of data virtualization tools.
• Lead complex platform design, coding, and testing efforts while performing root cause analysis.

Required Skills

• 5+ years of enterprise-level experience in big data engineering.
• Hands-on expertise with data virtualization tools: Dremio, JupyterHub, and AtScale.
• Strong experience with big data platforms: MapR, Hortonworks, and Cloudera Data Platform.
• Proficiency in deploying and managing tools in cloud and containerized environments (CDP, OCP).
• Solid understanding of platform engineering, automation scripting, and DevOps practices.
• Experience with Hadoop clusters and maintenance procedures.
• Ability to troubleshoot complex platform issues.

Preferred Skills

• Experience with enterprise-level data lake architectures and governance.
• Certification in Cloudera or OpenShift.

Key Skills

Education

Any Gradute