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Data Engineer - Digital Labs

Position Overview:

The Data Engineer is responsible to participate in the design, build and operations high performance, data centric solutions utilizing the comprehensive big data capabilities of Cargill’s data platform environment.  Specifically this position will participate in the build and optimization of Data products including models, configuration of pipelines, and management, monitoring and operations of solutions.

This position primarily works with individual Business Units, but may also work across multiple Business Units and/or Application portfolios to solution specific data applications.  This position will be engaged with programs that are transforming the way Global IT drives business value by moving technology delivery to a model that is composed of Lean principles, agile development approaches, and DevOps practices.

This position will partner closely with members of the Cargill Data Platform team to bring Data and Analytics products and solutions to Cargill’s businesses and set the path for how, when and where digital technology will shape the technology solution and its appropriate use.
Keys to the success of this position is agile courageous & innovative approach to problem solving, engineering expertise, collaboration, flexibility, and a self-motivated working style with attention to detail.  To be successful, the candidate must demonstrated a passion for new and evolving technologies and be willing to push their application throughout the organization

Principal Accountabilities:
25% - Solution Analysis and Design

70% - Development and Testing

5% - Miscellaneous


* 3 years of IT and business/industry work experience developing data or software applications including: analysis, design, coding, testing, deploying and supporting of applications

* Any applied experience with Java and/or Python

* 1 year experience with development using GitHub, TSVS or TFS

* 1 year experience with the Agile methodology


* Bachelor’s Degree in IT or Business Related field

* Experience with Hadoop and other big data technologies

* Experience with message or event based platforms: Tibco, IBM MQ, or Kafka, etc.

* Bachelor’s or Master’s Degree in technical or business discipline

* Experience with configuration management and automation tools such as: Chef, Puppet, Salt and Ansible.

* Applied experience and skills with API Development

* Applied experience with Cloud platforms including AWS and/or Azure

Success Attributes:

* Ability to create clear and detailed technical diagrams and documentation

* Knowledge of all components of enterprise architecture