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Lead Big Data Engineer
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Job Description

Lead Big Data Engineer
Chicago, IL

Prestigious Organization is seeking a Lead Big Data Engineer. This role is responsible for leading efforts of medium to high complexity and critical tracks of delivery of Big Data platforms to make decisions. This includes 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.

As an ideal candidate, you can learn and adapt quickly and are able to use every tool at your disposal-software, algorithms, statistical models, and beyond-to understand and effectively tackle hard problems. You appreciate and are able to navigate the path from ideation through selecting tools, exploring solutions, architecting etc. to an actual implementation of the Idea.

You're also an individual who.

  • Embraces a continuously evolving breadth of projects and goals.
  • Dedicates time and interest to learning, teaching, and continuously improving.
  • Desires to contribute concretely to design sessions, analytical discussions, and retrospectives.
  • Innovates and problem-solves by using new modelling techniques or tools.
  • Takes initiative and works efficiently while maintaining a focus on the bigger picture.
  • Effectively communicates learnings and findings with others in the team, leadership and department.
  • Partners closely with technical and non-technical staff to define user and project requirements.
  • Works collaboratively with other team members in pursuit of a common goal.
  • Helps define best practices.

Key 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.
  • Is an active 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.

Job Qualifications

  • 3 - 5 Years of experience or equivalent skills & ability
  • Master's or PhD preferred in a quantitative or scientific field such as computer science, computer engineering or equivocal experience.
  • 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.


Applicants must be eligible to work in the specified location

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