Big Data with Spark & Python Experience | W2

Company: DISYS - Digital Intelligence Systems, LLC
Location: Portland, Oregon, United States
Type: Full-time
Posted: 18.FEB.2021

Summary

My name is Manmeet Sanghera and I am working as a Lead Technical Recruiter with Digital Intelligence Systems (DISYS). Job ID: Role: Sr. So...

Description

My name is Manmeet Sanghera and I am working as a Lead Technical Recruiter with Digital Intelligence Systems (DISYS).

Job ID:

Role: Sr. Software Engineer

Location: Beaverton, OR

Duration: 12+ months (Possibility of extension)

Position Type: W2 only

Remarks:

  • Remote work is allowed- Till Jul/Aug 2021. But Once the office campus opens, The resources have to relocate to the client location.
  • Working hours will be PST

Hiring Manager Remarks

  • Spark Experience- The person needs to understand how Spark works (comfortable reading/writing code but won't have to architect pipelines)
  • Not looking for a Data Engineer, looking for a Software Engineer who has some data engineering experience (or at least interest in doing data engineering)

Job Summary:

  • Optimize the capability of the IT infrastructure and services to deliver cost effective and sustained level of application availability.
  • Develop complex tools and processes in the support of continuity management.
  • Executes tests for system continuity. Design, test, and implement monitoring tools and processes.
  • Write procedures to respond to results so system issues are brought to resolution.
  • Collect metrics over a long term for trending.
  • Performs complex work to install hardware and software taking proactive steps to assure success.
  • Devises process and procedure for applying and maintaining security settings and user access based on technology platform.
  • Recommends improvements as indicated based on analysis of current techniques and perceived imperfections.

Required:

  • Python with big data experience
  • Experience in develop APIs with Python or Scala
  • Big Data experience with Spark
  • AWS
  • Kubernetes
- provided by Dice

 
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