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Big Data Hadoop Solution Architect - IoT BigData Jobs

Big Data Hadoop Solution Archi...

ZurichNAnews Zurich North America

Zurich is currently looking for Big Data
Hadoop Solution Architect to work out of our North American
Headquarters in Schaumburg, Illinois.

  • Creates
    and maintains constructive and supportive relationships with Business Partners
  • Ensures
  • all projects are initiated within IT's delivery framework and satisfies BP's
    needs while aligned to both IT and BP strategy

This individual will lead the design and
implementation of our next generation of best in class solutions. As a dynamic
and talented Big Data architect, you will have proven hands on experience
leading architectural design of large scale, high availability Big Data
solution. You’ll understand the technical opportunities and limitations of the
various technologies at your disposal and will be able to specify the tailored
Big Data Ecosystem for the recommended solutions. In addition, you’ll have an
innate understanding of how to provision, monitor, support, evolve, and
evangelize the Big Data technology stack and will facilitate executive
interaction with members of Senior IT Leadership.

Basic Requirements:

  • Must have
    minimum 8 years' software development experience
  • Must have
    3+ years Hadoop-related architecture experience
  • Must have
    2+ years architecting Big Data hardware/software deployments
  • Experience
    in building and maintaining Hadoop/spark clusters
  • Designing
    solutions with a good understanding of cluster and parallel architecture
  • Programming
    languages – Spark, Scala, Java/J2EE, Linux, Wakari, Anaconda, R on Hadoop, PHP,
    Python, Hadoop, Hive, HBase, Pig, MapReduce and other Hadoop eco-system

Preferred Requirements:

  • Bachelors
    Degree Or Master’s Degree Preferred
  • Data
    warehouse, BI and ETL tools
  • Detailed
    knowledge of RDBMS data modeling and SQL
  • Some
    knowledge of NoSQL databases types such as OLAP, Graph, Key Value, Object, XML,
    JSON, SQL, NOSQL, Tuple Store, Columnar, in-memory
  • Enterprise
    Application integration
  • Master
    Data Management tools and methodologies
  • Good
    knowledge of Unix/Linux, Ruby, Python, Perl or other Scripting languages.
  • Development
    knowledge of J2EE and design patterns in a distributed, multi-platform,
    heterogeneous computing environment.
  • Must have
    exposure to developing solutions using continuous integration
  • Ability to
    understand what is required to actively monitor and respond to system issues
  • Self-starter
    with a passion for new technologies.
  • Must have
    Experience in a technical leadership role
  • Active participation
    the open source communities
  • Hands-on
    experience with “productionalizing” Hadoop applications (e.g.
    administration, configuration management, monitoring, debugging, and
    performance tuning)
  • Knowledge
    of cloud computing infrastructure (e.g. Amazon Web Services EC2, Elastic
    MapReduce) and considerations for scalable, distributed systems

Imagine working for a company that truly cares about their employees, customers, stakeholders, and communities they serve.

Imagine working for a values-driven organization that has the ambition and desire to be the best global insurance provider in the world.

Zurich is that place where 55,000 employees across approximately 200 countries and territories are all focused on helping people and helping companies protect what is truly most important to them. We are a values-driven organization that takes pride in the work that we do every day and we have the ambition to be the best global insurer in the world.

EOE disability/vets

Zurich does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resume will become the property of Zurich American Insurance. If you are a preferred vendor, please use our Recruiting Agency Portal for resume submission.

Primary Location
United States-Illinois-Schaumburg



Relocation Available

Job Posting

Unposting Date

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