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Data Scientist
2 days ago
- Propose changes to current applications and databases based on organizational requirements
- Recommend modernization options for data hosting, cleansing, transport, exposure, and ingestion at an enterprise scale
- Suggest modernization strategies focusing on performance, security, and cost-effectiveness, with the ability to manage large volumes of diverse enterprise datasets while identifying authoritative sources and reducing duplication
- Oversee enhancements and improvements to current data systems technology and processes, including data access authorizations against enterprise-approved user attributes
- Manage operations and maintenance of databases in cloud infrastructure
- Support representatives in cloud environment purchase, engineering, and architecture-related activities for applications and databases
- Design and create database systems enabling efficient data storage and retrieval
- Ensure smooth and secure operation of enterprise database systems
- Collaborate with team members, external stakeholders, and data stewards to define the current state of organizational data
- Build optimized data models for data warehouse reporting
- Proven experience with Oracle, PostgreSQL, and modern database technologies
- Demonstrated proficiency in Tableau, COGNOS, and contemporary reporting presentation tools
- Experience in testing and quality assurance of developed solutions within existing Oracle data tiers
- Expertise in developing, creating, and modifying data structures and load routines for analytic use cases
- Strong background in working with relational data tiers, including cleansing, transforming, and processing structured data
- Proficiency in working with views, triggers, and Oracle PL/SQL
- Knowledge of Amazon Web Services environments, including RDS, S3, etc.
- Experience with IMMUTA data policy
- Familiarity with various data repository types (e.g., relational, NoSQL, distributed processing frameworks)
- Experience in creating and interfacing with REST APIs
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