Type: Contract with Client
Exp: 5+ Years
JD
Looking for an experienced Data Modeler with a strong foundation in dimensional data modeling and a proven ability to design and maintain conceptual, logical, and physical data models. The ideal candidate will have a minimum of 5+ years of experience in data modeling and architecture, preferably within the banking or financial services industry.
Key Responsibilities
· Design, develop, and maintain dimensional data models to support analytics and reporting.
· Design conceptual, logical, and physical data models Utilize AWS services for scalable data model design
· Align data models with business rules and governance standards.
· Collaborate with business stakeholders, data architects, and engineers to ensure data models align with business rules and data governance standards.
· Translate business requirements into scalable and efficient data models.
· Maintain comprehensive documentation for data models, metadata, and data dictionaries.
· Ensure consistency and integrity of data models across systems and platforms.
· Partner with data engineering teams to implement models in AWS-based environments, including Redshift, Glue, and Lake Formation.
Required Skills and Qualifications
· 5+ years of experience in data modeling, with a focus on dimensional modeling and data warehouse design.
· Proficiency in developing conceptual, logical, and physical data models.
· Strong understanding of data governance, data quality, and metadata management.
· Hands-on experience with AWS services such as Redshift, Glue, and Lake Formation.
· Familiarity with data modeling tools (e.g., ER/Studio, ERwin, or similar).
· Excellent communication skills and ability to work with cross-functional teams.
Preferred Qualifications
· Experience in the banking or financial services sector.
· Knowledge of data lake architecture and modern data stack tools.
· AWS or data modeling certifications are a plus.
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