Estimated Length: Open Ended 37.5-hour work week
Required Experience
- Minimum of 4 years Oracle ODI experience.
- 8+ years overall experience in Data Integration, Data Architecture, Data Modeling, and implementation.
- Minimum of 5 years of full lifecycle data warehousing experience.
- Implementation of ODI interfaces and scenarios for extracting and loading data from a variety of data sources/targets including, Relational Database Management servers (including Oracle RDBMS, flat files (including CSV, Excel, & XML file formats), and web services (SOAP, WS-I Security).
- Experience with Set up, configuring and administration of ODI according to requirements.
- BI knowledge a requirement – 5 years in BI from ETL perspective.
- Design experience of the detailed ETL architecture, including agents, scenarios, packages, data mapping, data extractions, transformations and validations. This ETL design and implementation should include stand-alone and Java EE agents, ODI data services, ODI Console, ODI studio, and other appropriate development tools.
- Ability to observe steps and ascertain success of step or failure and root cause of step(s).
- Experience in Master Data Management and Meta Data Management.
- Experience in Dimensional Modeling.
- Demonstrated ability to communicate the overall customer data architecture to both technical and business constituencies.
- Creating Interfaces in order to move data from source to target.
- Assist infrastructure personnel in implementing the ODI migration process to migrate the ODI configuration through various development, test, and production environments.
- Develop system /integration test plans and scenarios for data loads and extracts.
- Manage and monitor production and non-production ETL sessions.
- Mentor and transfer ODI technical knowledge and processes to other team and department personnel, as requested.
Desired Experience
- Good knowledge of applicable data privacy practices and laws (FERPA).
- Experience in an education environment a plus.
- Experience with Oracle Exadata is a plus.
Responsibilities
Strategy & Planning
- Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap.
- Assist with assessing and determining governance, stewardship, and frameworks for managing data across the organization.
- Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement.
- Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
- Develop and deliver long-term strategic goals for data integration standards in conjunction with data users, department managers, clients, and other key stakeholders.
Operational Management
- Develop integration process data flows and data mapping analyses.
- Address data-related problems in regards to systems integration, compatibility, and multiple-platform integration.
- Develop and promote data integration methodologies and standards.
- Act as an advocate of data integration and management, including coaching, training, and career development to staff.
- Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture.
- Identify and develop opportunities for data reuse, migration, or retirement of systems.
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Competitive compensation
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