Full Job Description
Manage the operations of a large cloud-based data warehouse or data lake serving multiple data intensive applications for tens of thousands of users. Oversee data acquisition, data operations, data governance, and data engineering teams. Leverage data discovery tools, centralized data access control technology and implement privacy and governance policies to create a world class, next-generation data platform.
5+ years of experience with management of multi-terabyte data warehousing engineering projects
5+ years of experience with data architecture and ETL data pipeline development, including implementing functional and non-functional requirements
Experience with traditional data architecture, multi-dimensional design patterns, operational data stores, master and reference data management
Experience with Big Data architecture, including Cloudera or Hortonworks, data lakes, No SQL, and graph databases
Experience with distributed computing frameworks, including Apache Spark
Experience with data governance and data management approaches and data quality management
Experience with business intelligence and advanced analytics, including canned reporting, self-service insights, integrated data platforms, dashboarding, visualization, data science, and machine learning
BA or BS degree in CS or Engineering
3+ years of experience with the DoD, including supporting core business intelligence and advanced analytics
2+ years of experience with AWS Cloud native technologies, including EMR, RedShift, and Athena
2+ years of experience with implementing large scale data pipelines using distributed data processing frameworks, including Spark
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
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