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Systems Operation Engineer

Job in Union, Union County, New Jersey, 07083, USA
Listing for: Mindlance
Full Time position
Listed on 2026-07-10
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 150550 USD Yearly USD 150550.00 YEAR
Job Description & How to Apply Below

Systems Operation Engineer

Administer and support tools on the Data Private Cloud, including CDP, HWX, and MapR.

Install, configure, and maintain data analytical and virtualization tools such as Dremio, Jupyter Hub, and At Scale across multiple clusters.

Develop proof-of-concepts solutions leveraging CDP and OCP technologies.

Deploy tools, troubleshoot issues, perform root cause analysis, and remediate vulnerabilities.

Develop automation scripts for configuration and maintenance of data virtualization tools.

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.

Support programming staff during development, testing and implementation phases and lead complex platform design, coding and testing efforts.

Work with big data platforms:
MapR, Hortonworks, Cloudera Data Platform.

Hands-on expertise with data virtualization tools:
Dremio, Jupyter Hub, AtScale.

Deploy and manage tools in cloud and containerized environments (CDP, OCP).

Understand platform engineering, automation scripting, and Dev Ops practices.

Troubleshoot complex issues and perform root cause analysis.

Bachelor's degree in Computer Science, Information Technology or related field of study.

5 years' experience in position offered or related position with similar duties.

5 years' experience required with:
Designing big data solutions using Hive and Spark;
Development of automated data quality framework, complex hive queries and deployment on spark cluster;
Optimization of job flows, caching techniques; YARN resource configuration.

$150,550/per year including benefits

40 hours per week, M-F (9:00 a.m. to 6:00 p.m.)

Email resumes to , No calls, EOE

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