Senior Cloud and Big Data Engineer

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Job ID:
2446066
Location:
Irving, TX
Category:
Information Technology, Telecommunications, Array
Salary:
$130,000.00 per year
Zip Code:
75014
Employment Type:
Full time
Posted:
12.06.2017
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Job Description:

Prestigious Fortune 500 Company is currently seeking a Sr. Cloud and Big Data Engineer. Candidate will be responsible for the engineering and operation of the Cloud Big Data, and Analytics platforms. Candidate will also oversee and develop the various Big Data capabilities in cloud, aligning them with business strategies and requirements.

Responsibilitie:

  • Architect solutions for massive scale, resiliency and maintainability, leveraging various cloud providers, which meet technical, security, and business needs for applications and workloads.
  • Champion good engineering practices and help teams to define and setup frameworks for Big Data As A Service .
  • Contribute to technology strategy and engineering roadmaps around Big Data In Cloud platforms and execute strategic engineering proof of concepts.
  • Develop monitoring strategies for infrastructure, platforms and applications aligning with enterprise strategy and overall industry trends.

Qualifications:

  • Degree in Computer Science, MIS, or related area, or equivalent work experience.
  • 5+ years of relevant senior level experience in infrastructure, analytics or solution design/architecture.
  • Demonstrable knowledge of Amazon Web Services or similar cloud computing platform.
  • Good understanding of Linux - preferably RHEL.
  • Technical leadership and solution design.
  • Hands-on style - willingness and competence in producing necessary changes in our infrastructure and processes.
  • Able to work effectively across organizational and geographical boundaries
  • Ability to clearly communicate ideas and solutions.
  • Demonstrable ability to learn new technologies quickly.

Preferred Skills:

  • Big Data Technologies such as Hadoop, EMR, Spark, Impala, Kafka, etc.
  • Data Warehousing, SQL, Relational Databases.
  • NoSQL Databases.
  • Integration, Dataflow management, ETL.
  • Storage - NAS, SAN, JBOD, Object Storage.
  • Automation, Configuration Management (eg Ansible, Puppet), Dev-ops practices, CI/CD pipelines (eg Jenkins).
  • Elementary networking skills, switching, routing, Firewalls, load balancing.
  • Development skills - Java, Scala, Python, PERL, Shell Script.
  • Linux Containers/Docker.
  • Workflow scheduling and management.
  • DR and business continuity planning.
Company Info
Request Technology - Craig Johnson