KPMG Data Engineer - Healthcare & Life Sciences in Atlanta, Georgia

Business Title: Data Engineer - Healthcare & Life Sciences

Requisition Number: 66317

Function: Business Support Services

Area of Interest: Data Analytics, Healthcare

State: GA

City: Atlanta

Description:

The fastest growing Big Four professional services firm in the U.S., KPMG is known for being a great place to work and build a career. We provide audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Working Mother Magazine, Diversity Inc. and others. If you're as passionate about your future as we are, join our team.

KPMG is currently seeking a Data Engineer - Healthcare & Life Sciences, to join our Advanced Analytics Organization.

Responsibilities:

  • Facilitate the establishment of a secure big data analytics warehouse and an environment

  • Deliver solutions that fulfill the Business information needs and align with the information vision and strategy

  • Develop and document data models to facilitate data analytics and solution development

  • Develop ETL flows to obtain maximum value of the data assets and to facilitate the easy usage of the data assets

  • Help establish and maintain the data governance processes and mechanisms for data lake and EDW

  • Understand various data security standards and use secure data governance tools to apply and adhere to the required controls on a per data set basis

Qualifications:

  • A minimum of 4 years of data modeling & architecting experience, end-to-end development life-cycle support and SDLC processes

  • Bachelor's degree or higher in computer science or relevant field from an accredited college or university

  • Established experience of designing and building analytical data warehouses including using ETL and other data wrangling tools

  • Demonstrated understanding of enterprise data warehouse, big data, cloud, BI & analytics, content management, and data management

  • Experience with enterprise data warehouses, cloud data warehouses, Big Data environments, and RDBMS's

KPMG offers a comprehensive compensation and benefits package. KPMG, an equal opportunity employer/disability/veteran. KPMG maintains a drug-free workplace. KPMG will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable local, state or federal law (including San Francisco Ordinance number 131192). No phone calls or agencies please.

GL: 5

GF: 15304