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Dew Softech Inc

Senior Data Modeler

Dew Softech Inc, Trenton, New Jersey, us, 08628

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Senior Data Modeler Location: Trenton, NJ (Hybrid) Contract Duration: 12+ Months *Local candidates, experience creating data models from AWS Redshift, S3, Dynamo DB, DB2, and Postgres. Candidate will have a strong background in data modeling, database tuning, and the development of structured and unstructured data models for business intelligence and analytics

Job Description: We are seeking a skilled

Senior Data Modeler

(SOM) Specialist to design and implement modern data modeling solutions to meet our clients needs. This role involves creating conceptual, logical, and physical data models for various databases, including AWS Redshift, S3, Dynamo DB, DB2, and Postgres. The ideal candidate will have a strong background in data modeling, database tuning, and the development of structured and unstructured data models for business intelligence and analytics. This will be a

full-time contract

role and

hybrid

in

Trenton, NJ.

What You’ll Do:

Design and implement modern data modeling solutions using relational, dimensional, snowflake, star schemas, and data lake models

Collaborate with Application Development teams to build data strategies, data flows, and conceptual data models

Optimize and update data models to support data initiative projects throughout various implementation phases

Perform reverse engineering of physical data models and analyze variances across source systems

Develop best practices for standard naming conventions and coding practices to ensure consistency

Evaluate system integration challenges and recommend appropriate solutions

Work with IT teams to address performance requirements, project limitations, and interfaces

Review modifications to existing software to improve efficiency and performance

What You’ll Need Required:

8+ years of experience in data modeling for databases such as DB2, AWS Redshift, Dynamo DB, Postgres, SQL Server, and PEGA Applications

6+ years of experience with data modeling software

Proficiency in AWS and other cloud systems

Strong SQL and data profiling skills across various relational databases

Experience in building data lakes for structured and unstructured data

Database tuning techniques

Expertise in relational data, dimensional data, unstructured data, and master data

Excellent communication skills and ability to collaborate with internal and external teams

Self-motivated and capable of working independently with minimal supervision

Preferred:

Exposure to Snowflake’s Cloud Data Warehouse

Knowledge of modern data management trends and modeling techniques

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