Data Modeler
Description:
CGI has an immediate need for a Sr. Data Modeler (AWS) to join our financial services team in Columbia, SC, Lafayette, LA or Belton, TX. This is an exciting opportunity to work in a fast-paced team environment supporting one of the largest leaders in the secondary mortgage industry. We take an innovative approach to supporting our client, working side-by-side in an agile environment using emerging technologies.
- We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years!
- We have over 73,000+ CGI Members in 40 countries and over 5k+ loyal Clients who are leveraging our end-to-end services across the globe.
Your future duties and responsibilities
As a valued colleague on our team, you will contribute to designing, managing, and documenting one or more data stores, data warehouses, and/or subject areas. In this role, you will assess overall opportunities for improving or consolidating data stores/warehouses and their data elements.
- Support team with managing data and perform development or maintenance work on data models to support enterprise projects
- Provide analysis and feedback on data model discrepancies and integration challenge
Coordinate with business units and technical staff to understand data usage, lineage, and attributes
- Align data architecture workstreams with business objectives
- Gather information for new data models and/or reuse of data models in new environments
Required Qualifications To Be Successful In This Role
- 7+ years of relevant experience
- Experience as an application DBA in an Oracle and/or PostgreSQL environment
- Experience writing database procedural code. PL/SQL, T/SQL
- Experience working w/ design teams on large scale data movement projects
- Application and database performance tuning
- Experience with UNIX scripting and Dev/Ops tools
| Organization | CGI |
| Industry | Banking / Financial Services Jobs |
| Occupational Category | Data Modeler |
| Job Location | Columbia, SC, USA |
| Shift Type | Morning |
| Job Type | Full Time |
| Gender | No Preference |
| Career Level | Experienced Professional |
| Experience | 7 Years |
| Posted at | 2023-08-24 8:39 am |
| Expires on | 2026-11-29 |