Logical Data Modeler needs 3 years of experience in data modeling database design or data architecture.
Logical Data Modeler requires:
Bachelors degree or technical certification with a minimum of three (3) years related experience.
Experience with supporting Oracle databases.
Experience with cloud platforms (e.g. Azure Google and AWS) and cloud-native databases.
Exposure to database administration tasks such as installation configuration and maintenance of Oracle DBMS.
Experience supporting development lifecycle environments and data migration scripting.
Knowledge of data warehousing and ETL processes.
Strong understanding of relational database concepts normalization and data integrity.
Proficiency in data modeling tools (e.g. ERwin ER/Studio etc).
Familiarity with data governance metadata management and data quality principles.
Excellent analytical problem-solving and communication skills.
Logical Data Modeler duties:
Design and maintain logical data models that reflect business requirements and support enterprise data architecture.
Collaborate with business analysts and stakeholders to gather and interpret data requirements.
Translate business needs into normalized data structures and entity-relationship diagrams (ERDs).
Ensure logical models align with physical database implementations and performance goals.
Maintain metadata and data dictionaries to support data governance and lineage.
Support data integration migration and transformation efforts by providing data modeling expertise.
Logical Data Modeler needs 3 years of experience in data modeling database design or data architecture. Logical Data Modeler requires: Bachelors degree or technical certification with a minimum of three (3) years related experience. Experience with supporting Oracle databases. Experience with clo...
Logical Data Modeler needs 3 years of experience in data modeling database design or data architecture.
Logical Data Modeler requires:
Bachelors degree or technical certification with a minimum of three (3) years related experience.
Experience with supporting Oracle databases.
Experience with cloud platforms (e.g. Azure Google and AWS) and cloud-native databases.
Exposure to database administration tasks such as installation configuration and maintenance of Oracle DBMS.
Experience supporting development lifecycle environments and data migration scripting.
Knowledge of data warehousing and ETL processes.
Strong understanding of relational database concepts normalization and data integrity.
Proficiency in data modeling tools (e.g. ERwin ER/Studio etc).
Familiarity with data governance metadata management and data quality principles.
Excellent analytical problem-solving and communication skills.
Logical Data Modeler duties:
Design and maintain logical data models that reflect business requirements and support enterprise data architecture.
Collaborate with business analysts and stakeholders to gather and interpret data requirements.
Translate business needs into normalized data structures and entity-relationship diagrams (ERDs).
Ensure logical models align with physical database implementations and performance goals.
Maintain metadata and data dictionaries to support data governance and lineage.
Support data integration migration and transformation efforts by providing data modeling expertise.
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