What are the responsibilities and job description for the US-E-GPS-CON-SS-Data Engineer-USDC-KC position at Deloitte US?
SAre 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
This Data Engineer will:
- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks based on mission needs and objectives.
- Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures is preferred.
- Optimize data pipelines ensuring scalability, reliability, and high-performance processing as well as providing innovative solutions to troubleshoot complex data-related problems with large datasets.
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.
Qualifications
Required
- Bachelor's degree required
- 3 years of data engineering experience
- 3 years of experience with ETL processes
- 3 years of experience with Informatica
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Must be able to obtain the required security clearance for this role
- Must live in a commutable distance (approximately 100-mile radius) to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA with the ability to commute to assigned location for the day, without the need for overnight accommodations
- Expectation 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
Preferred
- AWS, Azure and/or Google Cloud Platform Certification.
- Experience in government consulting
- Experience working with agile development methodologies such as Sprint and Scrum.
- Experience government consulting/clients
- Strong problem-solving skills and ability to solve complex data-related issues
- Data governance 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
