Data Modeler

Role : Data Modeller Job Description : - Data Modeling: Develop conceptual, logical, and physical data models to meet business needs, ensuring alignment with business rules, data definitions, and system requirements. - Database Design: Design and maintain database structures (e.g., relational, dimensional, and NoSQL databases) that ensure the efficient storage, retrieval, and management of data. - Collaboration with Teams: Work closely with database developers, data architects, business analysts, and stakeholders to understand business requirements and translate them into data models. - Data Governance: Support data governance initiatives by ensuring data integrity, consistency, and accuracy across the organization. - Data Warehousing: Create and optimize star schemas, snowflake schemas, and other data warehouse designs for reporting and analytics. - Data Mapping and Transformation: Develop data mapping and transformation rules to integrate data from various sources into a consistent format for use across systems. - Data Quality Assurance: Conduct data profiling, auditing, and validation to ensure high levels of data quality across systems. - Documentation: Create and maintain comprehensive documentation for data models, including data dictionaries, ER diagrams, and metadata repositories. - Optimization: Analyze and optimize existing data models for performance, scalability, and future growth, identifying opportunities for improvement. - Tool Utilization: Use modeling tools (e.g., Erwin, ER/Studio, IBM InfoSphere Data Architect) to create and maintain data models. - Data Standards: Define and enforce data modeling standards, naming conventions, and best practices across the organization. (ref:hirist.tech)

Location: in, IN

Posted Date: 11/27/2024