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Kyyba - Dearborn, MI

posted 2 months ago

Full-time - Mid Level
Dearborn, MI
Professional, Scientific, and Technical Services

About the position

The Lead Data Engineer will serve as a technical lead, providing guidance and support in the design and implementation of cloud solutions on the Google Cloud Platform. This role involves collaborating with various stakeholders to translate business goals into product requirements, mentoring software engineers, and overseeing integration projects. The position requires a strong background in system and software engineering, cloud computing, and programming, particularly in Python or R.

Responsibilities

  • Design cloud solutions on the Google Cloud Platform.
  • Work with Architects on solutions and the architecture/design of the Product.
  • Provide feedback and recommendations on presented products.
  • Guide/mentor Software Engineers with the development of solutions.
  • Lead in the resolution of technical issues.
  • Participate in and/or lead development of requirements, user story development, use cases, and test cases.
  • Participate in stand-up operations meetings.
  • Lead and Support Integration Projects.
  • Oversee the work of system engineers and discuss status with executives.
  • Work with IT Operations, IT Engineering, Asset Planning Lifecycle Management, and GDIA Business Customers in the acquisition, provisioning, installation, configuration, and testing of hardware/software.
  • Assist GDIA business customers in migration from old tools/platforms to new and/or adoption of new tools.
  • Participate and/or lead incident, problem, change, and service request related activities, including root cause analysis.

Requirements

  • Minimum 3 years designing cloud solutions (Google Cloud Platform strongly preferred).
  • System Integration Capabilities.
  • Programming, Installation and Software Development Skills.
  • Cloud computing experience (e.g., Google Cloud Platform, Kubernetes, Docker, OpenShift).
  • Minimum 2 years professional experience installing, configuring, monitoring and tuning infrastructure tools.
  • Minimum 5 years professional experience with Python and/or R software development (Anaconda experience preferred).
  • Strong communication, organizational, and coordination skills.
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