Data Engineering/ETL Solution Manager

Data Engineering/ETL Solution Manager

Data Analytics | Data Engineering Same job available in 8 locations

Atlanta, Georgia, United States

Charlotte, North Carolina, United States

Dallas, Texas, United States

Gilbert, Arizona, United States

Houston, Texas, United States

Lake Mary, Florida, United States

Mechanicsburg, Pennsylvania, United States

Philadelphia, Pennsylvania, United States

Position Summary

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.

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
• Bachelor’s 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

Recruiting tips

From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture

Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture. Our purpose
Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. Learn more about Deloitte's purpose, commitments, and impact. Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

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.

Requisition code: 199346