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BIG DATA

Company: Opteamix
Location: Greenville
Posted on: September 14, 2019

Job Description:

Provide complete application lifecycle development, deployment, and operations support for Big Data solutions and infrastructure. In this role, you will partner with product owners, data scientists, solutions engineers, and business analysts to facilitate the development, automation, and seamless delivery of analytics solutions into Big Data clusters.

  • Implement and enhance complex big data solutions with a focus on collecting, parsing, managing, analyzing, and visualizing large data sets that produce valuable business insights and discoveries.
  • Determine the required infrastructure, services, and software required to build advanced analytics solutions, both on-premise and in the cloud.
  • Develop prototypes and proof of concepts for specified business challenges.
  • Assist data scientists with exploration and analysis activities.
  • Understand advanced algorithms and apply problem-solving experience to build high-performance, parallel, and distributed solutions.
  • Perform code and solution review activities, then recommend enhancements that improve efficiencies, performance, stability, and lower support costs.
  • Configure and conduct tuning exercises in Hadoop environments.
  • Quickly understand and apply new technologies and solution approaches.
  • Apply the latest DevOps and Agile methodologies to improve delivery time
  • Document requirements and configurations, as well as, clarify ambiguous specs.Bachelor degree in Computer Science, Mathematics, or Engineering
  • 4-7 years enterprise Big Data Engineering experience within any Hadoop environment
  • 5+ years enterprise software engineering experience with object-oriented design, coding and testing patterns, as well as, experience in engineering (commercial or open-source) software platforms and large-scale data infrastructures.Must
  • Hadoop, HIVE, HBase, Spark, Kafka, Sqoop services
  • Languages: Python, R, SQL, Java, Scala, Jupyter or Zeppelin, Hue, RStudio
  • Spark RDDs and DataFrames, machine learning algorithms
  • Intermediate - Enterprise Big Data security and management operations experience using tools and services, such as Ambari, Knox, Ranger, HDFS, Oozie, Kerberos
  • Intermediate Elasticsearch and Kibana development and operations
  • Intermediate Container management and development using Docker
  • Basic Automation/configuration management tools like Puppet, Chef
  • Basic Continuous integration tools similar to Jenkins
  • Basic Visualization tools like Tableau or Qlik
  • Basic Ingestion tools like NIFI, HDF, Talend - provided by Dice

Keywords: Opteamix, Greenville , BIG DATA, IT / Software / Systems , Greenville, South Carolina

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