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<html><body>&nbsp;&nbsp;&nbsp;&nbsp;Data Modeler- Role Overview Translate complex, coupled Mainframe DB2 schemas into decoupled, domain-driven models optimized for AWS and Databricks. - Key Responsibilities - Analyze shared DB2 schemas to understand table locking, modification patterns, and batch dependencies. - Design Target State conceptual, logical, and physical data models for the Unified Databricks &amp; MongoDB Lakehouse. - Design Slowly Changing Dimensions (SCD Type 1 &amp; 2) for the Persistent Layer. - Ensure data models support real-time APIs, microservices, and operational reporting. - Required Skills - Expertise in dimensional modeling (Star/Snowflake) and NoSQL document modeling (MongoDB). - Familiarity with cloud data warehouse structures like Amazon Redshift. - Understanding of Mainframe DB2 structures and migration to cloud-native formats. - AI Augmentation/Vibe Coding knowledge required</body></html>

&nbsp;&nbsp;&nbsp;&nbsp;Data Modeler- Role Overview Translate complex, coupled Mainframe DB2 schemas into decoupled, domain-driven models optimized for AWS and Databricks. - Key Responsibilities&nbsp; - Analyze shared DB2 schemas to understand table locking, modification patterns, and batch dependencies. - Design Target State conceptual, logical, and physical data models for the Unified Databricks &amp; MongoDB Lakehouse. - Design Slowly Changing Dimensions (SCD Type 1 &amp; 2) for the Persistent Layer. - Ensure data models support real-time APIs, microservices, and operational reporting. - Required Skills&nbsp; - Expertise in dimensional modeling (Star/Snowflake) and NoSQL document modeling (MongoDB). - Familiarity with cloud data warehouse structures like Amazon Redshift. - Understanding of Mainframe DB2 structures and migration to cloud-native formats. - AI Augmentation/Vibe Coding knowledge required

Data Modeler with Mainframe

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