Primary Position Purpose:

The Data Engineer Intern will be part of a team responsible for owning, developing, and maintaining our Enterprise Analytics Applications specifically within our cloud environment.  This position will focus heavily on the modeling & transforming of our structured & semi-structured date in the cloud that provided scalable, high-performance views/cubes for our BI Developers & field analysts to consume. This position will be working with a group of peers in an agile scrum environment dedicated to providing pipelines & data to a domain of the business.  This role will work very closely with our BI Developers, Data Science & end stakeholders to build robust tools & technology to support the business. You will also work your way to becoming a subject matter expert in our stack of development tools that supports our products we produce.

Position Functions:

·       Actively developing productivity skills through continuous learning and refining working style and time management.

·       Engage in a team environment and complete well-defined tasks to support team goals.

·       Ability to multi-task and analyze information to determine appropriate response.

·       Display ownership in work from planning/development through completion.

·       Develop & support Engineering pipelines.

·       Operate and develop in an Agile team environment (including backlog refinement & user story creation & ownership).

·       Develop expertise and understanding of core business functions of assigned domain.

·       Work collaboratively across the team and demonstrate the ability to multi-task.

·       Ability to explain products to both technical and non-technical audiences.

·       Ensure opened tickets are resolved within a timely fashion.

·       Strong collaborative mindset, good judgment with great interpersonal skills required to help solve complex business problems.

·       Partner with data owners to design solutions that align to data governance and data management principles best practices.

·       Develop robust, scalable solutions for collecting & analyzing large data sets. Must be proficient in creating & maintaining data pipelines.

·       Design logical data models and their physical schema design.

·       Collaborate in-person with all levels of the organization to harness collective intelligence of the workforce.

·       Attend all in-person meetings and trainings on recent developments, goals, and objectives. Participate in such discussions by offering input and advice.

·       Regularly engage remotely and in-person with customers and potential customers to establish rapport, open communication, and expectations.