Sr. Hadoop/Big Data Developer

Reston, VA 20190

Job ID: 105593 Job Category: Information Technology Pay Rate: DOE

Job Title:              Sr. Hadoop/Big Data Developer

Contract:              8+ Months Contract

Location:              Reston, VA, 20190 

About our Client : Our client serves the people who house America. We are a leading source of financing for mortgage lenders, providing access to affordable mortgage financing in all markets at all times. Our financing makes sustainable homeownership and workforce rental housing a reality for millions of Americans. We also help make possible the popular 30-year, fixed-rate mortgage, which provides homeowners with stable, predictable mortgage payments over the life of the loan. Our tools and resources help homebuyers, homeowners, and renters understand their housing options.

Job Description:

  • This project is in enterprise data group
  • Enterprise Data Lake Solution
  • Expecting millions of files and lots of applications to work within it
  • Will be build new modules, adding capabilities, create extracts and reports
  • Enterprise Data Catalog to organize it
  • Waterline Data is being implemented as the data catalog solution
  • Can search data out for it
  • Core Java experience is required
  • Hands on with NoSQL  Solr
  • Mid-level Developer (not looking for a super senior guy)
  • Python experience a must
  • Should be able to write shell scripts
  • AWS environment experience is required
  • not looking for a lead, already they have one
  • AWS S3 a big plus
  • Simple Queue service
  • Solr very much preferred
  • Data Cataloging a plus

Job requirements:

  • Candidate has to develop governance controls defined in EDL Data Governance Framework in AWS Cloud
  • Client need more than 10 years of programming experience, particularly with languages such as Java, Python and Shell Scripts
  • Should have strong experience in AWS Cloud tech stack (AWS SDK, S3 API, SNS, SQS, Lambda, Beanstalk, Hive, EMR, EC2, etc.)
  • End-to-End development experience (coding, unit testing, code repository, code build, deployments)
  • Experience with data cataloging solutions such as Waterline is preferred
  • Exposure with Solr is highly preferred
  • Associate level AWS certification is preferred

About ASK: ASK Staffing is an award-winning technology and professional services recruiting firm servicing Fortune 500 organizations nationally. With 5 nationwide offices, two global delivery centers, and employees in 42 states-ASK Staffing connects people with amazing opportunities


Edgar @ ; 703-520-9655

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