Job Description

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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