W-2 Jobs Portal

  • W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters

Job Overview

  • Job ID:

    J36993

  • Specialized Area:

    Hadoop & Big Data

  • Job Title:

    Big Data /Hadoop Developer

  • Location:

    Princeton, NJ,NJ

  • Duration:

    13 Months

  • Domain Exposure:

    Healthcare, Banking & Finance, Retail, Government, Aerospace/ Airlines

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2 (Consultant must be on our company payroll. C2C is not allowed)




Job Description

Job Description.

We are loking for a Big Data Engineer with real-world hands-on experience that can design, code and build big data warehouse systems. To be a good fit for this role, you must be experienced in the toolsets and skillsets outlined in this job description, be passionate about big data and analytics, be able to easily interact with product owners and stakeholders, be able to handle pressure and have a focused attitude toward delivering great results. Candidates should have hands-on experience as a Data Engineer in a Big Data environment (Spark, Hive, HDFS, Sqoop).

Requirements:

  • Bachelor-level or higher degree in engineering, information technology or computer science
  • Hands-on experience as a Data Engineer in a Big Data environment (Spark, Hive, HDFS, Sqoop)
  • Strong SQL knowledge and data analysis skills for data anomaly detection and data quality assurance
  • Programming experience in Scala, Python, shell scripting and automation
  • Experience with Apache Spark
  • Experience working with Streaming Technology – Kafka or Kinesis
  • Experience working with Lambda (AWS)
  • Experience working with Spark, Kafka, Hadoop, Hive, Parquet, Ambari, Python, Scala, HBase, Ranger, Oozie
  • Experience in preparing data(processing, cleaning and verifying the integrity of data) and proficiency in designing and develop a matching algorithm using jupyter notebooks
  • High proficiency in using query languages (SQL, Hive, and Pig)
  • Working experience of handling big data volume
  • Hands-on experience with Cloudera Hadoop ecosystem
  • Hands-on experience with SPARK, IMPALA, SCALA
  • SQL skills with Stored Procedure knowledge.
  • Knowledge of relational database techniques, data warehouse concepts, and architecture
  • Experience working in a UNIX environment including knowledge of shell scripts
 

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Equal Opportunity Employer

QUANTUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. QUANTUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will QUANTUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract