Cloud Big Data Engineer in McLean, VA at Booz Allen Hamilton Inc.

Date Posted: 5/2/2018

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    McLean, VA
  • Job Type:
    Engineering
  • Experience:
    Not Specified
  • Date Posted:
    5/2/2018

Job Description

Job Number: R0027758

Cloud Big Data Engineer

Key Role:
Design and implement Big Data and Cloud-based data processing and access solutions. Develop and integrate comprehensive Big Data and Cloud solutions in hybrid environments with a focus on DevOps and automation. Ingest data from various structured and unstructured data sources into Hadoop and other distributed Big Data systems. Track development and operational support via user stories and decomposed technical tasks in provided issue tracking software, including GIT, Maven, and JIRA.


Basic Qualifications:

-5+ years of experience with designing, building, deploying, and securing applications and services in Cloud computing environments, including AWS and Microsoft Azure

-3+ years of experience with using Big Data distributed computing technologies, including Hadoop, Hive, HBase, Spark, Zookeeper, or Yarn

-Experience with automating the provisioning and configuration activities in AWS or Azure production environments

-Experience with implementing Web services, including SOAP and RESTful APIs using microservices architectures and design patterns, including the 12 Factor App methodology

-Ability to obtain a security clearance required
-BA or BS degree


Additional Qualifications:
-Experience with implementing rapid response query solutions on Big Data platforms leveraging Solr, Elasticsearch, or similar scalable query engine implementations

-Ability to conduct research on emerging technologies and industry trends independently

-Amazon Certified Solutions Architect, Associate, or MCSD Azure Solutions Architect Certification 


Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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