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Big Data Engineer

Job in Jericho, Nassau County, New York, 11753, USA
Listing for: Cardinal Integrated
Full Time position
Listed on 2026-04-30
Job specializations:
  • Engineering
    Data Engineering
Salary/Wage Range or Industry Benchmark: 70 - 80 USD Hourly USD 70.00 80.00 HOUR
Job Description & How to Apply Below
Location: Jericho

Title:

Big Data Engineer

Location:

Jericho, NY (source locally first, can source outside of the state as long as the candidate is willing to relocate at their own expense)

Duration: C2H

Rate: $70 - $80.00 per hour C2C

Visa Type: H1, GC, US Citizen

Interview: 1 or 2 rounds of phone followed by an on-site interview (may be able to provide a Skype or Webex to out of state candidates)

Travel: no

Description:

The Big Data Engineer is responsible for the design, architecture, and development of projects powered by Google Big Data and MapR Hadoop distribution

Must-Have Skills/

Experience:

* Bachelors Degree required

* 5+ years of solution architecture in Hadoop

* Demonstrated experience in architecture, engineering, and implementation of enterprise-grade production big data use cases

* Extensive hands-on experience in Map Reduce, Hive, Java, HBase, and the following Hadoop eco-system products:
Sqoop, Flume, Oozie, Storm, Spark, and/or Kaftka.

* Extensive experience in Shell Scripting

* Solid understanding of different file formats and data serialization formats such as Proto Buf, Avro, JSON.

* Hands-on delivery experience working on popular Hadoop distribution platforms like Cloudera, Horton Works or MapR [MapR preferrably]

* Excellent communication skills

Nice to have:

* Coordinating the movement of data from original data sources into No

SQL data lakes and cloud environments

* Hands-on experience with Talend used in conjunction with Hadoop Map Reduce/Spark/Hive.

* Experience with Google cloud platform (Google Big Query)

* Source control (preferably Git Hub)

* Knowledge of agile development methodologies

* Experience in IDE framework like Hue, Jupyter, Zepplin

* Needs to have a good experience on ETL Technologies and concepts of Data Warehouse
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