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Deloitte Data Engineer Consultant in Rosslyn, Virginia

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

Operating at the intersection of proven commercial technologies and critical government missions, we are looking for an experienced Data Engineer to work with our Analytics and Cognitive team to design future state modern data architecture for transformation at the enterprise level using advanced architectural principles. They will also work with cutting-edge DevOps technologies, playing a critical role in designing, building and running DevOps Assembly Lines for new development and software modernization that runs on any-compute (on premise and multi-cloud). Development of advanced analytics products, applying data visualization and statistical programming tools to enterprise data to advance and enable key mission outcomes.

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 and Cognitive (A&C) 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:

• Minimum Active Secret Level Security Clearance

  • 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 of professional experience in data engineering (SQL).

• 3+ years of experience designing and developing real time ETL architecture for real time predictive analytics.

• 2+ years of experience with Apache Hive, Apache Spark and Apache Yarn

• Bachelor's degree in Computer Science, Engineering, Mathematics or other business-related field

Preferred:

• 5+ years of relevant consulting or industry experience

• Interest in event streaming architectures, such as Apache Kafka

• Creativity and innovation - desire to learn and apply new technologies, products, and libraries

• Prior professional services or federal consulting experience

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

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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.

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