About the job
At Minutes to Seconds, we match people having great skills with tailor-fitted jobs to achieve well-deserved success. We know how to match people to the right job roles to create that perfect fit. This changes the dynamics of business success and catalyzes the growth of individuals. Our aim is to provide both our candidates and clients with great opportunities and the ideal fit every time. We have partnered with the best people and the best businesses in Australia in order to achieve success on all fronts. We’re passionate about doing an incredible job for our clients and job seekers. Our success is determined by the success of individuals at the workplace.
We would love the opportunity to work with YOU!!
Minutes to Seconds is looking for a Data Modeler in a Hybrid role in Charlotte, NC.
The Senior Data Modeler will be pivotal in developing our cloud data platform. The ideal candidate will have extensive experience in data modeling, a deep understanding of retail industry data models, and expertise in operational data modeling and ETL logic for subject-oriented data marts. The candidate will also be responsible for data ingestion from numerous applications, ensuring the accuracy and consistency of data across our platforms.
Data Modeling:
Design and implement robust, scalable, and efficient data models for operational data and subject-oriented data marts.
Develop conceptual, logical, and physical data models to support data integration, business intelligence, and analytics initiatives.
Collaborate with business stakeholders to understand data requirements and translate them into effective data models.
ETL Development:
Create and maintain ETL processes to extract, transform, and load data from various sources into the data platform.
Ensure ETL processes are optimized for performance, accuracy, and maintainability.
Troubleshoot and resolve issues related to ETL processes and data integration.
Data Integration:
Manage data ingestion processes from multiple applications, ensuring data consistency and reliability.
Develop and maintain data integration frameworks to support real-time and batch data processing.
Coordinate with application owners to ensure seamless data ingestion and integration.
Industry-Specific Data Models:
Apply deep knowledge of retail industry data models, particularly in areas such as sales, inventory, loss prevention, supply chain, and warehouse management.
Utilize industry best practices to design data models that support the unique needs of a retail business.
Documentation and Governance:
Maintain comprehensive documentation of data models, ETL processes, and data integration workflows.
Implement data governance practices to ensure data quality, security, and compliance with industry standards.
Establish and enforce data modeling and documentation standards.
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