Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6 Month(s)
Skills
Data Modeling
Auditing
Collaboration
Data Integration
Data Integrity
Data Migration
Documentation
Mapping
Meta-data Management
Optimization
Regulatory Compliance
Data Profiling
Data Storage
Database
Database Design
Document Processing
SQL
Scratch
Usability
Job Details
Role: *Data Modeler* (High Priority)
Location: Atlanta, Georgia _ Day 1 Onsite 5 Days week Office *Only Locals*
Experience : 12+ Years
Job Description:
- Develop, maintain, and enhance conceptual, logical, and physical data models for various business
domains and applications.
- Experience in building Data models in OLTP Systems from the scratch.
- Experience in building generic DATA models for File Processing, Document Processing, Hierarchy
models, Data Auditing, Notifications.
- Translate business requirements into data models ensuring structural integrity and compliance with
organizational standards.
- Design and optimize database structures to support data storage, retrieval, and analysis.
- Collaborate with database administrators and developers to implement data models in database
systems (SQL Server, Oracle).
- Ensure data integrity, security, and performance through proper database design and optimization
techniques.
- Perform data profiling, analysis, and validation to identify inconsistencies and anomalies.
- Collaborate with stakeholders to elicit, analyze, and document data requirements.
- Create clear and comprehensive documentation of data models, including entity-relationship
diagrams, data dictionaries, and metadata.
- Support data integration projects by mapping data sources to target data models and designing
data transformation processes.
- Facilitate data migration efforts, ensuring seamless transition of data from legacy systems to new
platforms or environments.
- Work closely with business analysts, developers, and project managers to align data modeling
efforts with project timelines and objectives.
- Conduct quality assurance reviews of data models to ensure accuracy, completeness, and usability.
- Identify and resolve data model-related issues, such as performance bottlenecks, data anomalies,
and schema conflicts.
- Contribute to the overall success of the team by actively participating in meetings, sharing insights,
and contributing innovative ideas.
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