Jobs Admin — May 21, 2014
Jobs Jobs- Big Data

Do you have Hadoop / Hive experience for 2 years or More? How about becoming a member of a team responsible for building Big data capabilities in an analytics consultancy?

Designation – Data Engineer (Big Data)

Location – Gurgaon

About employer – Confidential

Job Description:

The “Big Data” team will be responsible for building the backend data processing and analytic infrastructure that forms the backbone for the Data Management Platform. As a Big Data Engineer, you will be working other members of the team (including the CTO and VP of Applications and Data).


  • To build data processing pipelines that process Terabytes of data to generate valuable insights for our 60+ clients across the world.
  • Responsible for building algorithms that analyze the Terabytes of data to build predictive learning models for Attribution, Segmentation and Online-Ad optimization.

 Qualification and Skills Required:

  • B.S. or higher in Computer Science, Statistics, Mathematics, or related field
  • Practical, hands-on experience with modern Agile development methodologies (XP, Scrum, TDD)
  • 3 – 7 years Programming experience with Java
  • >= 2 years programming experience with Hadoop / Hive
  • Experience building backend systems using a variety of J2EE technologies like Spring, Netty
  • Experience with Maven and related build tools
  • Initiative Taking, Self Motivated and Self Directed
  • Performs in ambiguous environment
  • Team worker/good interpersonal skills
  • Ability to interact with Senior Management


  • Experience with NoSQL technologies. We use Cassandra and Redis.
  • AWS Exprience a HUGE plus. Our entire tech stack is built on top of Amazon and experience with DynamoDB and/or RedShift would be extremely handy.
  • Online Advertising industry experience

Interested people can apply for this job by sending their updated CV to [email protected] with subject as Data Engineer (Big Data) – Gurgaon and the following details:

  1. Total Experience
  2. Current CTC
  3. Expected CTC
  4. Notice Period

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