Technology and Data
15 hours ago
In this contingent resource assignment, you may consult on complex initiatives with broad impact and large-scale planning for Systems Operations Engineering. You will review and analyze complex multi-faceted, larger scale or longer-term Systems Operations Engineering challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.
Required Skills & Qualifications
- 5 years of Systems Engineering or Technology Architecture experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
- Strong experience with big data platforms: MapR, Hortonworks, Cloudera Data Platform.
- Hands-on expertise with data virtualization tools: Dremio, JupyterHub, AtScale.
- Proficiency in deploying and managing tools in cloud and containerized environments (CDP, OCP).
- Solid understanding of platform engineering, automation scripting, and DevOps practices.
- Proven ability to troubleshoot complex issues and perform root cause analysis.
- Experience in leading technical efforts and mentoring team members.
- Certifications in Cloudera, OpenShift, or related technologies.
- Experience with enterprise-level data lake architectures and governance.
- Administer and support tools on the Data private cloud, including CDP, HWX, 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.
- Deploy tools and troubleshoot issues, perform root cause analysis, and remediate vulnerabilities.
- Act as a technical subject matter expert, supporting programming staff during development, testing, and implementation phases.
- Develop automation scripts for configuration and maintenance of data virtualization tools.
- Lead complex platform design, coding, and testing efforts.
- Drive advanced modeling, simulation, and analysis initiatives.
- Maintain comprehensive documentation of Hadoop cluster configurations, processes, and procedures.
- Generate reports on cluster usage, performance metrics, and capacity utilization.
- Work closely with data engineers, data scientists, and other stakeholders to understand their requirements and provide necessary support.
- Collaborate with IT infrastructure teams for integrating Dremio Tool, Hadoop clusters with existing systems and services.
- Inclusive and diverse work environment.
- Opportunities for professional growth and development.
- Supportive and collaborative team atmosphere.
For immediate consideration please click APPLY to begin the screening process with Alex.
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