Big Data Engineer

Job Title: Big Data Engineer

Location: Charlotte, NC (uptown) or Chandler, AZ (3 days onsite, 2 days remote)

Duration: 12+ Months Contract

++Must Haves:++

Strong experience with big data platforms such as MapR, Hortonworks, and Cloudera Data Platform
Hands-on expertise with data virtualization tools such as Dremio, JupyterHub,and 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
Enterprise level experience

++Desired Skills:++

++Day to Day:++

Administer and support tools on the Data private clou 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

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