Data Modeler

Role Overview: As a Data Modeler with cloud experience, your role involves designing, developing, and implementing data models within cloud environments such as Azure or AWS. You will focus on data structure, relationships, and performance for cloud data platforms and warehouses. Your expertise in conceptual, logical, and physical data modeling, proficiency in cloud services like Azure Data Factory or AWS Redshift, and skills in data modeling tools like erwin will be crucial. Additionally, understanding data governance and security best practices in a cloud context is essential. Key Responsibilities: - Create conceptual, logical, and physical data models that define data structures, objects, and relationships to meet business requirements. - Implement and optimize data models within cloud environments (e.g., Azure, AWS, Google Cloud) by leveraging cloud native services and architectures. - Design and maintain data warehouses and data lakes to support analytics and reporting, often involving ETL/ELT processes. - Ensure data governance, quality, and security best practices are applied within the cloud data models. - Utilize data modeling tools like Erwin, ER/Studio, or others to create and manage data models. Qualification Required: - Proven experience in data modeling within cloud environments, with a focus on Azure or AWS. - Familiarity with cloud services such as Azure Data Factory or AWS Redshift. - Proficiency in data modeling tools like erwin. - Strong understanding of data governance and security best practices in a cloud context. Please note: Additional details about the company were not provided in the job description. Role Overview: As a Data Modeler with cloud experience, your role involves designing, developing, and implementing data models within cloud environments such as Azure or AWS. You will focus on data structure, relationships, and performance for cloud data platforms and warehouses. Your expertise in conceptual, logical, and physical data modeling, proficiency in cloud services like Azure Data Factory or AWS Redshift, and skills in data modeling tools like erwin will be crucial. Additionally, understanding data governance and security best practices in a cloud context is essential. Key Responsibilities: - Create conceptual, logical, and physical data models that define data structures, objects, and relationships to meet business requirements. - Implement and optimize data models within cloud environments (e.g., Azure, AWS, Google Cloud) by leveraging cloud native services and architectures. - Design and maintain data warehouses and data lakes to support analytics and reporting, often involving ETL/ELT processes. - Ensure data governance, quality, and security best practices are applied within the cloud data models. - Utilize data modeling tools like Erwin, ER/Studio, or others to create and manage data models. Qualification Required: - Proven experience in data modeling within cloud environments, with a focus on Azure or AWS. - Familiarity with cloud services such as Azure Data Factory or AWS Redshift. - Proficiency in data modeling tools like erwin. - Strong understanding of data governance and security best practices in a cloud context. Please note: Additional details about the company were not provided in the job description.