Hadoop Data Engineer

Hadoop Data Engineer Contract Length: 12+ Month contract Hybrid Work: Some onsite work Location: Charlotte, NC We are seeking a skilled Hadoop Data 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. Key Responsibilities Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex, multi-faceted, large-scale or long-term Software Engineering challenges requiring in-depth evaluation of multiple factors, including intangible or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of function, policies, procedures, and compliance requirements. Strategically collaborate and consult with client personnel. Required Qualifications 5+ years of Software Engineering experience, or equivalent. 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. Experience Hadoop: 2–4 years #J-18808-Ljbffr Strategic Staffing Solutions