Overview
Skills
Job Details
Key Responsibilities
Design conceptual, logical, and physical data models, with a strong emphasis on Amazon Redshift data warehouse architectures.
Create source-to-target mappings and optimized target-state models for Redshift.
Profile and analyze datasets in Redshift to assess data quality, lineage, and reuse potential.
Collaborate with business and technical stakeholders to define business rules, KPIs, and analytics requirements.
Develop and maintain data dictionaries, ER diagrams, and metadata documentation.
Define and implement data governance standards for certified and reusable data products.
Required Skills
Strong expertise in data modeling tools such as ER/Studio, Erwin, or similar.
Hands-on experience with Amazon Redshift (schema design, performance optimization, and analytics modeling).
Strong knowledge of relational and NoSQL databases, including:
Amazon Redshift
PostgreSQL
DynamoDB
Experience with data governance, data quality, lineage, and compliance frameworks.
Excellent analytical, documentation, and communication skills.
Qualifications
Bachelor s degree in Computer Science, Data Science, or a related field.
5+ years of hands-on experience in data modeling and database design, including Amazon Redshift.
Experience with AWS data services such as Redshift, Glue, and S3 is a strong plus.