Data Engineering/ETL Solution Manager

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 youll 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.

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

Qualifications Required:

10 years of full-time experience with ETL tools and process.

10 years experience in large scale Data Warehouse environments & experience moving data between systems

10 years experience maintaining an Enterprise Data Warehouse (EDW) in support of business intelligence analytics

10 years experience developing and maintaining data warehouse objects

6 years experience in leading and managing teams

Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. This may include overnight travel.

Expected to co-locate in your designated Delivery location up to 30% of the time based on business needs. This may include a maximum of 10% overnight client/project travel

Bachelors degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

Must live in a commutable distance (approximately 100-mile radius) to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA; Gilbert, AZ

Limited immigration sponsorship may be available

Preferred:

Experience in data engineering with an emphasis on data analytics and reporting.

Experience maintaining an Enterprise Data Warehouse (EDW) in support of business intelligence analytics

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

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.

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.