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:


  • Specialized Area:

    Hadoop & Big Data

  • Job Title:

    Big Data Engineer

  • Location:


  • Duration:

    9 Months

  • Domain Exposure:

    Retail, Government, Oil & Gas, IT/Software

  • 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)

  • Bench Recruiter:


Job Description

Job Description

Imp Note: Worker can be remote, but must support East Coast Hours. Local preferred. If they are to be remote, they need to travel once a month, or so to onsite.

We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.


•              Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities

•              Implementing ETL process using APACHE NIFI

•              Monitoring performance and advising any necessary infrastructure changes

•              Defining data retention policies

•              Proficient with Spark and SparkR.

Skills and Qualifications

•              Proficient understanding of distributed computing principles.

•              Proficiency with ETL infrastructure such as Nifi, Talend.

•              Management of Hadoop cluster, with all included services such as Hive,HBase,mapReduce and Sqoop

•              Ability to solve any ongoing issues with operating the cluster and identifying performance bottlenecks.

•              Proficiency with Hadoop v2, MapReduce, HDFS

•              Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming.

•              Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala

•              Experience with Spark and SparkR

•              Experience with integration of data from multiple data sources

•              Experience with NoSQL databases, such as HBase, Cassandra, MongoDB

•              Knowledge of various ETL techniques and frameworks, such as Flume

•              Experience with various messaging systems, such as Kafka.

•              Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O

•              Good understanding of Lambda Architecture, along with its advantages and drawbacks

•              Experience with Cloudera/MapR/Hortonworks

Apply Now
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