A technology company in Charlotte is seeking a highly skilled Hadoop / HPE MapR Engineer to design and manage large-scale data platforms. This senior-level position requires expertise in Hadoop ecosystems, strong Linux administration, and hands-on experience with Apache Spark. Candidates must have over 7 years in Data Platform Engineering, focusing on ensuring high availability and performance for enterprise workloads. The role involves collaboration with engineering and data teams while ensuring compliance with security standards.
Qualifications
7+ years of experience in Big Data / Data Platform Engineering.
Strong hands-on experience with Hadoop distributions, specifically HPE MapR.
Deep understanding of distributed systems, cluster computing, and data storage architectures.
Responsibilities
Design, deploy, and manage large-scale Hadoop clusters with a focus on HPE MapR components.
Monitor cluster health, troubleshoot performance issues, and conduct root cause analysis.
Collaborate with engineering, data, and DevOps teams to support enterprise data initiatives.
Skills
Hadoop
Apache Spark
Linux
Data Platform Engineering
Cluster Computing
Security
Tools
HPE MapR
Apache
Docker
Kubernetes
Job description
A technology company in Charlotte is seeking a highly skilled Hadoop / HPE MapR Engineer to design and manage large-scale data platforms. This senior-level position requires expertise in Hadoop ecosystems, strong Linux administration, and hands-on experience with Apache Spark. Candidates must have over 7 years in Data Platform Engineering, focusing on ensuring high availability and performance for enterprise workloads. The role involves collaboration with engineering and data teams while ensuring compliance with security standards.