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Job ID : 15565

Job Title : Big Data Engineer

Location : Cranston, RI

Company Name : Landmark Health

Industry : Information Technology

Salary : $72,000 - $139,000  per year

Job Type : Fulltime

Posted on: 2020-09-23

Required Skills : Java, JavaScript, Python, R, Scala

Benefits : No benefits are available


  • Architect, design, develop, implement, configure and document current and future Hadoop infrastructure
  • Perform software installation and configuration, database backup and recovery, storage management, performance tuning, database connectivity, and security
  • Implement and support various components of the Hadoop ecosystem
  • Monitor Hadoop cluster connectivity and performance.
  • HDFS support and maintenance.
  • Setting up new Hadoop users.
  • Responsible for the new and existing administration of Hadoop infrastructure.
  • Support data modeling, design and implementation,
  • Work closely with infrastructure, network, database, business intelligence and application teams to ensure business applications are readily available and performing within agreed-upon service levels
  • Develop tools for automated build test deployment and management of the platform
  • Continuously improve integration and delivery systems


  • Bachelors degree in Computer Science, Information Systems, Information Technology, Management Information Systems, or equivalent experience is preferred
  • 3+ years designing, developing, and implementing solutions in Hadoop environments
  • 3+ years supporting technologies in the Hadoop ecosystem
  • Expertise with HDFS, YARN, MapReduce, Hive, Pig, Spark
  • Proficiency with Hadoop technologies such as Nifi, HDFS, HBase, Flume, and Sqoop
  • Ability to write reliable, manageable, and highly efficient code using Hadoop tools
  • Proficiency with SQL scripting
  • Experience in backend programming, particularly Java, JavaScript, Python, R, Scala
  • Working knowledge of Linux/Unix, distributed computing, networks, and network security
  • Strong problem solving and analytical skills
  • Effective oral and written communication skills for both technical and non-technical audiences
  • Excellent systems and data analysis skills
  • Ability to prioritize and manage competing projects


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