Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.

　　Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ...

　　Work you'll do/Responsibilities

　　Not only will candidates be joining a project team, but they will also be joining a team of resources dedicated to delivering client engagements from an off-site location focused on common tools, technologies, and methodologies.

　　The successful candidate will work with the Deloitte team to implement, maintain, and enhance its enterprise-level data architecture using Informatica Power Center and Power Exchange tool.

　　Work with Business Analysts and Data Modelers to understand requirements.

　　Design and develop sustainable database ETL applications to support those requirements.

　　Create technical design documents that capture source to target mapping, define transformation algorithms, and document data quality rules.

　　The Team

　　Artificial Intelligence & Data Engineering:

　　In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

　　The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

　　Artificial Intelligence & Data Engineering will work with our clients to:

　　Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.

　　Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions.

　　Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements.

　　Qualifications:

　　Developing inbound and outbound interfaces between the Employee Cloud and the various source systems we are pushing / pulling data from (or to).

　　Required:

　　6+ Years of experience with ETL, preferably Informatica.

　　Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

　　Must have experience moving data between systems

　　Must have experience in data engineering with an emphasis on data analytics and reporting.

　　Must have experience maintaining an Enterprise Data Warehouse (EDW) in support of business intelligence analytics

　　Develop and maintain data warehouse objects

　　Experience working within an Extraction Transform Load (ETL) software

　　Must have experience working within Data Warehouse environments

　　Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

　　Ability to obtain and maintain secret clearance

　　Travel up to 10% annually

　　Must live or be willing to relocate to a commutable distance to Atlanta, GA

　　Must be in your designated office location 10%-30% throghout the year

　　All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.