Senior Cloud Data Engineer (TS/SCI) – Big-Data & Hadoop

J&T Business Consulting

Annapolis (MD)

On-site

USD 203,000 - 230,000

Full time

2 days ago
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Job summary

J&T Business Consulting in Annapolis, MD seeks a Cloud Software Engineer 3 with TS/SCI and polygraph clearance to design and maintain large-scale cloud data systems. You will work on back-end processing, IR, and Hadoop ecosystem using Java, distributed computing, and cloud services, collaborating with cross-functional teams in a fast-paced government contracting environment.

Candidates must have extensive Big Data experience, strong knowledge of MapReduce, HDFS, and cloud architecture, and a

Qualifications

  • Twelve (12) years of software engineering experience in programs of similar scope.
  • Bachelor's degree in Computer Science from an accredited college or university.
  • Four (4) years in Big-Data cloud technologies and/or distributed computing.
  • Cloudera Certified Hadoop Developer certification can substitute for one year of cloud experience.

Responsibilities

  • Review and test software components for adherence to design requirements.
  • Document test results and resolve software problem reports.
  • Contribute input to system design components, including hardware/software trade-offs.
  • Develop and maintain back-end processing for cloud-based data systems.

Skills

Cloud Computing
Big Data
Java
Distributed Computing
MapReduce
Hadoop
RESTful Web Services
Linux

Education

Bachelor's degree in Computer Science

Tools

HDFS
HBase
Lucene
Solr
MongoDB
J2EE
Eclipse
Maven
YARN

Job description

J&T Business Consulting in Annapolis, MD seeks a Cloud Software Engineer 3 with TS/SCI and polygraph clearance to design and maintain large-scale cloud data systems. You will work on back-end processing, IR, and Hadoop ecosystem using Java, distributed computing, and cloud services, collaborating with cross-functional teams in a fast-paced government contracting environment.

Candidates must have extensive Big Data experience, strong knowledge of MapReduce, HDFS, and cloud architecture, and a

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