Centraprise
Data Modeler
Centraprise, Kansas City, Missouri, United States, 64101
Role: Data Modeler
Location: OFL, MO Day 1 onsite
We are seeking a skilled and experienced Data Modeler to join our team. The successful candidate will be responsible for designing, developing, and maintaining data models for our product development team.
Responsibilities:• Analyze and understand business requirements to create logical and physical data models• Develop and maintain conceptual, logical, and physical data models using industry-standard tools and methodologies• Work closely with business analysts, database administrators, and software developers to ensure database systems meet business requirements• Collaborate with the data Architect to ensure adherence to data standards and guidelines• Conduct data profiling, analysis, and mapping to ensure accuracy and completeness of data models• Ensure data models are scalable, flexible, and optimized for performance• Participate in data modeling and design reviews to ensure consistency and adherence to best practicesDevelop data models including ETL staging models and traditional data warehouse dimension/fact models.Requirements• Bachelor's degree in Computer Science, Information Systems, or related field• 15+ years of experience in data modeling and design• Experience with industry-standard data modeling tools such as ERWin, ER/Studio, or PowerDesigner• Strong understanding of data modeling concepts such as entity-relationship diagrams, normalization, and data classification• Familiarity with database management systems such as Snowflake and Azure Cloud.
Design the data marts in dimensional data modeling using star and snowflake schemas.Design scalable logical and physical data-models normalizing data into OLTP/OLAP schema.Experience with data profiling, analysis, and mapping
• Excellent analytical and problem-solving skills• Strong communication and collaboration skills
This is an exciting opportunity for someone passionate about data modeling, design, and optimization to join a dynamic team and contribute to the success of the product team.
Location: OFL, MO Day 1 onsite
We are seeking a skilled and experienced Data Modeler to join our team. The successful candidate will be responsible for designing, developing, and maintaining data models for our product development team.
Responsibilities:• Analyze and understand business requirements to create logical and physical data models• Develop and maintain conceptual, logical, and physical data models using industry-standard tools and methodologies• Work closely with business analysts, database administrators, and software developers to ensure database systems meet business requirements• Collaborate with the data Architect to ensure adherence to data standards and guidelines• Conduct data profiling, analysis, and mapping to ensure accuracy and completeness of data models• Ensure data models are scalable, flexible, and optimized for performance• Participate in data modeling and design reviews to ensure consistency and adherence to best practicesDevelop data models including ETL staging models and traditional data warehouse dimension/fact models.Requirements• Bachelor's degree in Computer Science, Information Systems, or related field• 15+ years of experience in data modeling and design• Experience with industry-standard data modeling tools such as ERWin, ER/Studio, or PowerDesigner• Strong understanding of data modeling concepts such as entity-relationship diagrams, normalization, and data classification• Familiarity with database management systems such as Snowflake and Azure Cloud.
Design the data marts in dimensional data modeling using star and snowflake schemas.Design scalable logical and physical data-models normalizing data into OLTP/OLAP schema.Experience with data profiling, analysis, and mapping
• Excellent analytical and problem-solving skills• Strong communication and collaboration skills
This is an exciting opportunity for someone passionate about data modeling, design, and optimization to join a dynamic team and contribute to the success of the product team.