Big Data Lead Engineer

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Job ID:
2446246
Location:
Chicago, IL
Category:
Information Technology, Telecommunications, Array
Salary:
$135,000.00 per year
Zip Code:
60601
Employment Type:
Full time
Posted:
12.07.2017
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Job Description:

*Permanent Full time role*

Prestigious Fortune 500 Company is currently seeking a Big Data Lead Engineer. Candidate will be responsible for leading efforts and critical tracks of delivery of Big Data platforms. Candidate will help lead the development and recommendation of new Big Data systems for analysing data; the coding & development of advanced analytics solutions to make/optimize business decisions and processes; searching for and integrating new tools to improve descriptive, predictive, and prescriptive analytics; and discovery of new technical challenges that can be solved with existing and emerging Big Data hardware and software solutions.

Responsibilities:

  • Make major contributions to the Big Data direction and strategy for the group in partnership with their peers.
  • Executes highly complex functional work tracks for the team. Drives the execution of operational/technical objectives for data analytic outputs and business solutions.
  • Technical leader within the department
  • Partners closely with peers in the department to ensure holistic Big Data solutions for our data science community and analytic users.
  • Develops technical solutions using Big Data techniques in data & analytics processes.
  • Supports Innovation; regularly provides new ideas to help people, process, and technology that interact with analytic ecosystem.
  • Uses, learns, teaches, and supports a wide variety of Big Data and Data Science tools to achieve results (ie, R, ETL Tools, Hadoop, and others).
  • Uses, learns, teaches, and supports a wide variety of programming languages on Big Data and Data Science work (ie Java, C#, Python, and Perl).
  • Trains, develops, and teaches more junior engineers.

Qualifications

  • 5 Years of experience or equivalent skills & ability
  • Experience in using software development to drive data science & analytic efforts.
  • Experience with database & ETL technologies.
  • Experience with various data types (eg Relational, Unstructured, Hierarchical, and Linked Graph Data).
  • Experience in developing, managing, and manipulating large, complex datasets.
  • Proven ability to code and develop prototypes in languages such as Python, Perl, Java, C, R, SQL, and XSLT.
  • Ability to communicate and present advanced technical topics to general audiences.
  • Leading project teams of various skills levels.
  • Understanding of predictive modelling techniques a plus.
Company Info
Request Technology - Craig Johnson