Job Description :
Position: Oracle Data Integration (ODI) Developer
Location: Malden, MA
Interview: Phone & Skype
Duration: 6+ Months
Skills: ODI, Data Modeling, RDMS, CSV, EXCEL, XML, ETL, Exadata, FERPA, education environment.
Description & Job Details
Seeking an experienced Oracle Data Integration (ODI) person who will be responsible for reviewing, designing, developing, and implementing our data integration efforts for current data warehouse and planned enhancements.
The candidate must have experience in data integration in a data warehouse environment including integration of data from disparate systems and proprietary formats.
Under general supervision, the Data Integration person shall provide strategic level technical leadership for the integration effort and must be able to perform hands on analysis and implementation.
She or he must also clearly understand the business objectives and be able to communicate issues to the business and technical stakeholders verbally and in writing.
He or she must also be able to understand the different standards in the Education domain CEDS, SIF, IMS GLC, PESC, State Core model and provide guidance to technical staff, project managers and insure vendors adhere to the standards.
The role also requires development and implementation of realistic integration plans.
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