Data Scientist
1 month ago
As a Data Scientist at General Dynamics Information Technology, you will play a critical role in delivering insights that help our clients turn data into action. Your work will provide transformative solutions to our clients' big-data obstacles and help advance the mission.
Key Responsibilities- Recommend changes to current applications and databases based on Sponsor requirements.
- Make recommendations to the Sponsor for modernization options for data hosting, data cleansing, data transport, data exposure, and data ingestion at an enterprise scale.
- Manage enhancements and improvements to current data systems technology and processes, including data access authorizations against enterprise-approved user attributes and solutions with Sponsor oversight.
- Provide operations and maintenance of databases in the cloud infrastructure.
- Support Sponsor's representatives in cloud environment purchase, engineering, and architecture related activities as applicable to applications and databases.
- Execute development, design, and creation of database systems that enable storage and smooth retrieval of data.
- Ensure the smooth and secure running of the Sponsor's enterprise database systems.
- Collaborate with team members, external stakeholders, and data stewards to define the current state of Sponsor data.
- Build data models that are optimized for reporting from a data warehouse.
- Demonstrated experience utilizing Oracle, PostgreSQL, and modern database technologies.
- Demonstrated experience with Tableau, COGNOS, and modern technologies for reporting presentation.
- Demonstrated experience performing testing and quality assurance of developed solutions within the existing Oracle data tier.
- Demonstrated experience developing, creating, and modifying data structure and data load routines for analytic use cases.
- Demonstrated experience working with relational data tiers including cleansing, transforming, and processing of structured data.
- Demonstrated experience working with views, triggers, and Oracle PL and SQL.
- Demonstrated knowledge of Amazon Web Services environments, including RDS, S3, etc.
- Demonstrated experience with IMMUTA data policy.
- Demonstrated experience with a variety of data repository types (i.e., relational, NoSQL, distributed processing framework, etc.).
- Demonstrated experience creating and interfacing with REST APIs.
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