Assembling large, complex data sets that meet functional / non-functional business requirements.
Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using AWS ‘big data’ technologies.
Building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Present information using data visualization techniques
Experience with and processing large volumes of data.
Work directly with engineers to complete tasks
Undertake data collection, preprocessing, and analysis
Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
8+ years of experience working in a Data Engineer or Data Analysis role
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Experience building processes supporting data transformation, data structures, metadata, dependency and workload management.
Demonstrated success in manipulating, processing and extracting value from large disconnected data sets.
Strong analytical and critical thinking skills.
Active TS/SCI clearance and eligibility to obtain CI Poly
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.
GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.