Big Data DevOps Engineer

Pittsburgh, PA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

We are seeking an experienced Big Data DevOps Engineer with 8Plus years of expertise in designing building and supporting large-scale data processing systems. The ideal candidate will have strong handson experience with HDFS Hive Spark and Linux environments and will be responsible for developing robust ETL pipelines and providing endtoend production implement and optimize scalable Big Data ETL pipelines using Hive and and maintain HDFSbased data storage with Data Engineers DevOps and Application teams for data flow orchestration and root cause analysis and provide L2/L3 production support for data infrastructure system performance and automate processes in a Linux-based high availability and disaster recovery setup for big data DevOps best practices for CI/CD pipelines version control and systems architecture processes and SkillsTechnical SkillsStrong hands-on experience in Big Data tools (HDFS Hive Spark) ETL pipeline development and production support in a Linux-based DevOps SkillsExcellent verbal and written communication skills to effectively liaise between business stakeholders and IT problem-solving abilities to identify and implement system to detail with the ability to analyze complex business processes and technical to work independently and manage multiple priorities interpersonal skills for collaborating with diverse teams and clients. .