Big Data Developer

Hadoop/ HPE MapR Engineer Duration-12 Months Location- Charlotte, NC-Hybrid Pay- $70-$75 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. -- Vilayath Khan Vilayath.k@clevanoollc.com