Company Name:-
Ernst & Young

Job Location:-
United States

Job Summary:-
EY advises clients to understand, architect, select and implement bleeding edge solutions required to efficiently run their businesses, with a focus on Digital and Cloud.

These service areas span E-commerce, Solution Architecture, Mobile Applications, Digital Platform Architecture, Digital Technology Strategy, and Digital IT Operations.

The opportunity
This is a rapidly growing area, so you will have plenty of opportunity to spread your wings and develop your skillset to keep up with the ever-growing demands of the digital landscape.

Most of your time will be spent embedded with our clients’ team and we’ll look to you to provide our clients with a unique business and technical perspective on how they must continue to innovate and remain competitive in this ever-changing industry.

Our Data Engineering team participates in complex data analysis, migration and integration of enterprise solutions, specifically in the Microsoft stack.

Your key responsibilities
There is no such thing as a typical day.

You will provide assistance to multiple client engagement teams, work with a wide variety of clients to help them navigate the complex world of data, integrations, and analytics.

We’ll look to you to provide our clients with a unique business perspective on how integrated data can transform and improve their entire organization — starting with the key business issues they face.

Skills and attributes for success
Design, develop, and produce data models leveraging sound modelling principles.

Create data migration and integration packages using tools such as SSIS, Informatica and Dell Boomi.

Develop long-term business relationships and networks both internally and externally.

Interact and communicate effectively with teammates, clients, stakeholders, and executives.

Assist with providing scope, time and LOE estimates on assigned tasks.

To qualify for the role you must have
Bachelor’s degree, or MS degree in Computer Science, Statistics or Applied Mathematics, Data Science, or Machine Learning.

At least three years of professional experience in big data or data engineering.

Self-starter and able to handle multiple tasks.

projects and priorities.

An understanding of business processes and experience using analytics and compe

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