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Posted over 1 year ago

  • Provide expertise on the product deployments and be responsible for supporting and maintaining full stack applications.
  • Design and author production quality technical documentation and reference materials to facilitate training.
  • Plan, coordinate and execute product upgrades and patch set updates.
  • Understand system designs and analyze and implement products in Big Data environment.
  • Work on the Hadoop ecosystem, cloud environment AWS, Microsoft Azure, and cloud IaaS providers (AWS EC2, Azure, Google).
  • Use automation tools such as Ansible, Chef or Puppet.
  • Perform Spark configuration and performance and system integrations.
  • Troubleshooting Linux, docket container and Hadoop cluster system performance.
  • Analyze workload on the system, recognize problem areas, and proactively intervene where necessary.
  • Understand management priorities and deliver every given task with sense of responsibility and dedication.
  • Research and document product system features and usage for standards recording.
  • Product related troubleshooting and analysis working with client teams.
  • Create dashboards and reports with emphasis on visualization, design and usability experience.
  • Work independently as well as in a team environment on moderate to highly complex issues.
  • Bachelor’s degree in Computer Science, Engineering, or related;
  • 5 years of experience as a Software Engineer or related occupation;
  • 5 years of experience with Linux and Networking Skills;
  • 5 years of hands-on experience with at least one programming language and Hadoop; and
  • 5 years of experience on SQL or NO SQL database.
Experience may be gained concurrently.