Role: Data Modeler

Overview

On Site
$60 - $65
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

OLTP
Data Modeler
Metadata
File Processing

Job Details

Role : Data Modeler (High Priority) Location: Atlanta, Georgia _ Day 1 Onsite 5 Days week Office Only Locals Face to Face interview is MUST for client round Experience : 12+ Years

Visa : H1B.EAD.GC.GCEAD.USC

Duration : 6+ Months

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.

Thanks:

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