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.
Work you’ll do
• Develop and design data pipelines to support an end-to-end solution
• Develop and maintain artifacts i.e. schemas, data dictionaries, and transforms related to ETL processes
• Integrate data pipelines with AWS cloud services to extract meaningful insights
• Manage production data within multiple datasets ensuring fault tolerance and redundancy
• Design and develop robust and functional dataflows to support raw data and expected data
• Provide Tier 3 technical support for deployed applications and dataflows
• Experience with cloud message APIs and usage of push notifications
• Collaborate with the rest of data engineering team to design and launch new features. Includes coordination and documentation of dataflows, capabilities, etc.
• Keen interest in learning and using the latest software tools, methods, and technologies to solve real world problem sets vital to national security
Database administration and development experience will be a plus for consideration.
The team
Deloitte’s Government and Public Services (GPS) practice – our people, ideas, technology and outcomes—is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
The GPS Analytics & Data Operations (AI&DO) offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights.
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
- Active TS/SCI security clearance required
- 5+ years experience Data Engineering and ETL (Extract, Transform, Load)
- 1+ years experience in integrating data pipelines in an AWS environment
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