Hadoop Data Engineer- Hadoop/ HPE MapR Engineer
Location- Charlotte NC
We are seeking a skilled Hadoop / HPE MapR Engineer to design build operate and optimize large-scale distributed data platforms. This role focuses on supporting and enhancing HPE MapR based Hadoop ecosystems ensuring high availability performance security and reliability for enterprise data workloads.
Hadoop - 2 - 4 Years
- Consult on complex initiatives with broad impact and large-scale planning for Software Engineering.
- Review and analyze complex multi-faceted larger scale or longer-term Software 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 Qualifications:
- 5 years of Software Engineering experience or equivalent
- Hadoop - 2 - 4 Years
- Strong hands-on experience with Hadoop distributions specifically HPE MapR.
- Deep understanding of distributed systems data storage and cluster computing concepts.
- Proficiency in Linux/Unix system administration.
- Experience with at least one programming or scripting language: Python Java Scala or Bash.
- Working knowledge of Spark and batch/stream processing paradigms.
- Experience troubleshooting performance and stability issues in large-scale environments.
Hadoop Data Engineer- Hadoop/ HPE MapR Engineer Location- Charlotte NC We are seeking a skilled Hadoop / HPE MapR Engineer to design build operate and optimize large-scale distributed data platforms. This role focuses on supporting and enhancing HPE MapR based Hadoop ecosystems ensuring high av...
Hadoop Data Engineer- Hadoop/ HPE MapR Engineer
Location- Charlotte NC
We are seeking a skilled Hadoop / HPE MapR Engineer to design build operate and optimize large-scale distributed data platforms. This role focuses on supporting and enhancing HPE MapR based Hadoop ecosystems ensuring high availability performance security and reliability for enterprise data workloads.
Hadoop - 2 - 4 Years
- Consult on complex initiatives with broad impact and large-scale planning for Software Engineering.
- Review and analyze complex multi-faceted larger scale or longer-term Software 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 Qualifications:
- 5 years of Software Engineering experience or equivalent
- Hadoop - 2 - 4 Years
- Strong hands-on experience with Hadoop distributions specifically HPE MapR.
- Deep understanding of distributed systems data storage and cluster computing concepts.
- Proficiency in Linux/Unix system administration.
- Experience with at least one programming or scripting language: Python Java Scala or Bash.
- Working knowledge of Spark and batch/stream processing paradigms.
- Experience troubleshooting performance and stability issues in large-scale environments.
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