Implify Inc

Implify Inc

Hadoop Developer

Bellevue, WA, United States · Full-time

Work authorization requiredDetected 3394 days ago
Machine LearningSparkCommunicationProblem Solving

About the role

  • Implify, Inc is a Global IT Solutions and services firm.
  • Since it's inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models.
  • IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff.

Responsibilities

  • Hadoop Developer with 5+ years' experience, including experience in design on Hortonworks platform.

Requirements

  • 3+ Years of experience in design and development on Hadoop / Hortonworks platform.
  • Hands-on experience in Big Data Components/Frameworks such as Hadoop, Spark.
  • Experience in architecture and implementation of large and highly complex projects.
  • What is your total Work Experience in years:
  • Do You have Bachelor's Degree:

Nice to have

  • Preferred Skills:

Skills

  • Experience with Big Data and Machine Learning Frameworks
  • Knowledge of Teradata, SOLR, SPARK, Zeppelin, Accumulo will be an added advantage
  • Ability to work in challenging situations
  • Excellent communication & team management skills
  • Good written and verbal skills & team skills
  • Strong problem solving skills & proactive attitude
  • Candidate Details:
  • Primary email address:
  • Alternate e-mail id:
  • Current Home & Work Location in USA (City, State):
  • Please confirm your Cell Phone:
  • What is the best time to reach you:

Compensation

  • Please specify your expected

Equal opportunity

  • All your information will be kept confidential according to EEO guidelines.

Visa & Work Authorization

  • Are you authorized to work for ANY employer in USA (US citizen, Green card, H1, L2, EAD):

This listing is sourced directly from Implify Inc's careers page and normalized into a canonical job model.