Datum Technologies Group
Sr. Data Modeler
Datum Technologies Group, Minneapolis, Minnesota, United States, 55400
Sr.Data ModelerLong term contractMinneapolis, MN
Qualifications:
Expertise in data modeling, query fine-tuning, table creation, and management of data relationships.Proficient in Database Design, Dimensional Modeling, and Data Warehousing. Capable of creating a set of database tables that optimize data storage and retrieval.Skilled in Erwin Data Modeling Tool for building and maintaining data models and handling metadata management.Advanced proficiency in SQL, including writing DML (Data Manipulation Language) and DDL (Data Definition Language) queries to create, manage, and query databases effectively.Specific Qualifications:
Solid experience in database design and implementation with strong dimensional modeling and data warehousing expertise.Hands-on experience with Erwin Data Modeling Tool, enabling efficient creation and maintenance of data models.Deep knowledge of SQL for managing data relationships, query optimization, and database architecture.
Responsibilities:
Collaborate with business users to gather and analyze requirements, then design various models that capture different levels of detail.Clean and harmonize data from multiple databases, ensuring accuracy by eliminating incomplete, incorrect, or inconsistent entries.Develop, test, and implement portions of information management solutions using software development life cycle methodologies.Participate in system upgrades, enhancements, and conversions to meet evolving business needs.Utilize appropriate tools and methodologies to analyze, identify, and resolve business and technical challenges.Lead the integration of processes and data into an enterprise-wide perspective, supporting the project lifecycle from scoping and planning to deployment.Design and implement information management systems, focusing on master data, metadata, data architecture, data governance, and data quality.Set strategic direction for data governance and define criteria for selecting the organizational structure of information management.Responsible for the functional design and architecture of information management systems across all technologies and platforms.Provide deep expertise across various platforms and applications in support of enterprise-level information management.
"All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran."
Qualifications:
Expertise in data modeling, query fine-tuning, table creation, and management of data relationships.Proficient in Database Design, Dimensional Modeling, and Data Warehousing. Capable of creating a set of database tables that optimize data storage and retrieval.Skilled in Erwin Data Modeling Tool for building and maintaining data models and handling metadata management.Advanced proficiency in SQL, including writing DML (Data Manipulation Language) and DDL (Data Definition Language) queries to create, manage, and query databases effectively.Specific Qualifications:
Solid experience in database design and implementation with strong dimensional modeling and data warehousing expertise.Hands-on experience with Erwin Data Modeling Tool, enabling efficient creation and maintenance of data models.Deep knowledge of SQL for managing data relationships, query optimization, and database architecture.
Responsibilities:
Collaborate with business users to gather and analyze requirements, then design various models that capture different levels of detail.Clean and harmonize data from multiple databases, ensuring accuracy by eliminating incomplete, incorrect, or inconsistent entries.Develop, test, and implement portions of information management solutions using software development life cycle methodologies.Participate in system upgrades, enhancements, and conversions to meet evolving business needs.Utilize appropriate tools and methodologies to analyze, identify, and resolve business and technical challenges.Lead the integration of processes and data into an enterprise-wide perspective, supporting the project lifecycle from scoping and planning to deployment.Design and implement information management systems, focusing on master data, metadata, data architecture, data governance, and data quality.Set strategic direction for data governance and define criteria for selecting the organizational structure of information management.Responsible for the functional design and architecture of information management systems across all technologies and platforms.Provide deep expertise across various platforms and applications in support of enterprise-level information management.
"All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran."