- Role Description The Data Modeler role at Digitalogia is a remote, contract position focused on designing and optimizing data structures that power our digital twinning platforms. On a day-to-day basis, the Data Modeler will analyze business and technical requirements, create logical and physical data models, and collaborate with engineering teams to implement scalable data architectures. Responsibilities include defining and maintaining data standards, ensuring data quality and consistency, and supporting data governance initiatives across multiple projects. The role also involves working closely with ETL developers to design efficient data integration processes, documenting data flows and models, and providing guidance on best practices for data management in simulation environments.
- Qualifications
- Candidates should possess strong skills in Data Modeling and Data Architecture to design robust, scalable structures for complex simulation platforms.
- Candidates should possess skills in Data Governance and Data Quality to define standards, ensure accuracy, and maintain consistency across datasets.
- Candidates should possess skills in Extract Transform Load (ETL) processes to support data integration, transformation, and loading from diverse sources.
- Experience with relational and NoSQL databases, data warehousing concepts, and cloud-based data platforms (e.g., AWS, Azure, GCP) is beneficial.
- Proficiency in SQL and familiarity with data modeling tools (such as ER/Studio, PowerDesigner, or similar) is advantageous.
- Ability to translate complex business requirements into technical data solutions and collaborate effectively with cross-functional remote teams.
- Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field, or equivalent practical experience.
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Data Modeler
Digitalogia
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