We are:
AccentureFederal Servicesbring together commercial innovation with the latest technology to unleash the potential for our federal clients. Operating in the nation's Capital, we stay ahead of what is coming next. Drawing from the power of Accenture, we deliver integrated, mobile and interactive experiences that exceed our people's expectations. Join us where ideas are freely exchanged, and concepts evolve into practical solutions.
You are:
A Data Engineer ready to design and implement distributed, cloud-native data pipelines, storage systems, and query support. You will help support next generation defense and intelligence operations with a focus on enabling machine learning and automation. Your team is eager to work in an Agile development environment and expected to identify and mitigate risks and bottlenecks associated with big data environments.
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The Work:
Apply statistics, machine learning and analytic approaches to answer key intelligence questions, producing results and re-usable products that provide real value to Analysts. Develop and refine data sets to achieve stakeholder goals and objectives as requested. Work with analysts to interpret analytic results and refine analysis as needed. Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate steps of processes. Evaluate statistical models to determine the validity of analyses, implement evaluated models into production by collaborating with software developers, periodically re-evaluate and refine machine learning models being used in production.
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Qualifications
Here's what you need:
Proficiency with ETL to program software that transforms data
Experience with one of the following tools: Apache NiFi, Informatica, Talend, AWS Glue, SQL Server Integration Services
US Citizenship, dual citizens not eligible
Bonus points:
Associates or Bachelor's degree in Computer Science
Experience in an AWS Development Environment
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