Data Warehouse Developer

at  Deloitte

In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI). Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems. By joining our team, you will play a key role in helping to our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace.

QUALIFICATIONS

Required:

• Bachelor’s degree required
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• 3+ years working in data engineering, data warehousing, and data analysis in a government consulting setting
• 3+ years of experience designing, optimizing, and maintaining relational and non-relational databases
• Must be able to obtain and maintain the required clearance for this role
• Travel up to 5-25% depending on the clients and industries you serve

Preferred:

• 5+ years of prior professional services government consulting experience
• Creativity and innovation - desire to learn and apply new technologies, products, and libraries
• Strong written and verbal communication skills
• Strong organizational skills
• Demonstrated marketplace eminence in data warehouse solutions

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

• Provide technical support to client agencies financial business intelligence system
• Support data warehouse development, maintenance and optimization
• Develop compelling reporting and dashboarding solutions
• Perform data analysis to ensure accuracy and integrity of data by understanding business context.
• Develop documentation and procedures of refreshing slowly changing in house Data Warehouse dimensional tables.
• Develop error handling process to collect rejects for data analysis.