Big Data Architect

  • location: Windsor, CT
  • type: Temp to Perm
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job description

Big Data Architect

job summary:
Join our amazing Data Services Team as a Big Data (Hadoop) Architect and be part of a creative, forward-thinking team. Our success at deploying skilled, highly knowledgeable experts in a career growing opportunity is why this position is your next career move.

location: Windsor, Connecticut
job type: Contract
work hours: 8am to 5pm
education: No Degree Required
  • To lead, design and develop Big Data initiatives
  • Develop sustainable big data platform solutions while identifying gaps and opportunities to improve on existing solutions and processes
  • The job will require hands on experience with Big Data environments and the ability to play a lead role in developing solutions.
  • Collaboratively participate in the entire project lifecycle from design to delivery, taking advantage of flexibility in technology and approach
  • Proactively research and evaluate emerging and evolving technologies
  • Deliver hands-on components to support strategic and project-centric prototyping, and solution prescriptions across emerging platforms
  • Delivers the required documentation during each stage of the project.
  • 4+ years of hands-on, large scale, leading Big Data , and analytic solutions
  • Must have extensive knowledge with Big Data architecture [Hadoop, NoSQL and distributed computing]
  • Must have working experience with Hadoop and other components like Hive, Impala, Pig, Sqoop, Map-Reduce, Flume, H2O etc.
  • Working knowledge on Spark, Kafka is required
  • Prior experience in platforms such as Hadoop, Spark, Kafka, SQL, Confluent, MapReduce, Pig, Hive, Impala, Flume, Sqoop, Zookeeper, Oozie, Hue, R, and python
  • Proven ability to drive and influence change through innovation & process improvement.
  • Professional written and verbal communication skills
  • Intellectually curious, reliable, and flexible team player
  • Passionate about delivering quality
  • Evaluates technology and components against existing and future needs
  • Should be able to work independently

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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