Data Engineer – Atlanta, GA
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?
Work you’ll do
A Data Engineer on this project will be responsible for leading the architecture and setup of an AWS hosted data lake as well as the ingestion pipeline and processing for 100+ datasets, working closely with Agile software development team(s). This role includes responsibilities such as creating and managing schedules for data management (migration, integration, etc.) efforts, working with clients to validate migrated data, working with Agile development teams to understand changes and their impacts towards data migration efforts, among other tasks.
Analytics & Cognitive
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. 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 GPS marketplace.
Analytics & Cognitive 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
- Ability to Obtain and Maintain a Government Security Clearance
- 5+ years relevant professional experience
- 3+ years data engineering, data management and transformation experience
- 3+ years experience with Amazon Cloud Architecture
- 2+ years experience with Big Data tools such as Kubernetes, MongoDB
- Bachelor's degree in Computer Science, Engineering, Mathematics or other business-related field
- Experience with GraphQL
- 5+ years of relevant technology consulting or industry experience
- Professional Amazon Cloud Architecture certification
- Prior professional services or federal consulting experience
- Knowledge of data mining, machine learning, data visualization and statistical modeling
- Ability to thrive in a fast-paced work environment with multiple stakeholders
- Ability to decompose a technical problem into its sub-components and build a plan to rigorously tackle the analysis that is defensible and repeatable
- High-performing team player
How you’ll grow
At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Center.
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.
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