Data Engineering Internship - Summer 2020
What We'll Bring
At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation – we’re consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius.
Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.
The data engineer intern will operate as a member on one of the core teams responsible for enabling new features and optimizing strategic Analytics platforms across TransUnion. Our multi-Petabyte platforms support a diverse community of internal and customer-based data scientists, statisticians, modelers, product developers and data strategists.
What You'll Bring
Pursuing a bachelor’s degree in Computer Science, Information Systems Management or equivalent area of study
User knowledge of Microsoft Office Products
Experience with python, SQL, and data modeling
As a contributing member on one of our agile development teams, you will have both the accountability and freedom to build systems that are taking TransUnion to the next level. Success in this role requires a blend of skills in the following technology areas:
Agile (Scrum) SDLC
Data Integration / ETL
Big Data & Relational Database Design
Systems Engineering (“DevOps”)
Impact You'll Make
Function as a core team member within one of our Agile teams building backend-end data applications and services that support the Analytics platforms of TransUnion
Deploy and Implement leading-edge analytics environments including software, end-user tools and other data services
Collaborate with product owners and team members on requirements and implementation approaches for addressing demand and challenges
Design and Develop tools and services enabling end-user productivity and system integrations
Partner with business resources to troubleshoot issues, manage capacity, and plan for the optimization and expansion of environments
Assist in technology innovation activities such as research, evaluations, and prototyping
Train, coach and support users on environment, tools, data and services
Maintain and ensure availability and quality of systems
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