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Skills
Analysis Skillsunmatched
Apache Hadoopunmatched
Apache Sparkunmatched
Apiary/Beekeepingunmatched
Big Dataunmatched
Cachingunmatched
Capacity Utilizationunmatched
Cloud Computingunmatched
Clouderaunmatched
Computer Scienceunmatched
Computer Securityunmatched
Data Analysisunmatched
Data Qualityunmatched
Data Scienceunmatched
DevOpsunmatched
Documentationunmatched
HortonWorksunmatched
Identify Issuesunmatched
Information Technology & Information Systemsunmatched
Performance Metricsunmatched
Private Cloudunmatched
Proof of Conceptunmatched
Reporting Skillsunmatched
Root Cause Analysisunmatched
Scripting (Scripting Languages)unmatched
Simulationunmatched
System Operationsunmatched
Systems Engineeringunmatched
Test Plan/Scheduleunmatched
Testingunmatched
Virtualizationunmatched
Willing to Travelunmatched
Description
Systems Operation Engineer, Mindlance Inc. (Union, NJ)- 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, JupyterHub, 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, JupyterHub, AtScale.
- Deploy and manage tools in cloud and containerized environments (CDP, OCP).
- Understand platform engineering, automation scripting, and DevOps practices.
- Troubleshoot complex issues and perform root cause analysis.
JOB REQUIREMENTS:- 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.
Special Skills:- 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,
Where all such experience can be acquired concurrently.
Travel required to unanticipated client locations all over the United States
SALARY: $150,550/per year including benefits
WORK SCHEDULE: 40 hours per week, M-F (9:00 a.m. to 6:00 p.m.)
Email Resumes to: usjobs@mindlance.com, No calls, EOE