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Data Modeler
hace 2 meses
Visium Sa is a leading provider of data strategy, transformation, and implementation services. Our mission is to empower enterprise executives to define and execute their AI and data strategy, ensuring their organization becomes future-proof.
Job DescriptionData Modeler - Enterprise Data Architect
We are seeking a skilled and detail-oriented Data Modeler to join our dynamic Data Engineering & Cloud team. The ideal candidate will have a strong background in data modeling, database design, and data architecture.
Key Responsibilities- Data Modeling: Design and develop conceptual, logical, and physical data models to meet the needs of business processes and technical requirements.
- Database Design: Work closely with database administrators, data engineers, and software developers to implement data models into physical databases.
- Data Integration: Collaborate with data engineers and ETL developers to ensure seamless data integration from various sources into the data warehouse.
- Data Architecture: Develop and maintain data architecture standards, ensuring consistency, scalability, and reusability across data models.
- Metadata Management: Document data models and maintain metadata repositories to ensure data governance and easy data discovery.
- Data Quality: Work with data governance teams to implement data quality rules and ensure high data accuracy and consistency.
- Performance Tuning: Optimize database performance by refining data models, indexing strategies, and query performance.
- Stakeholder Collaboration: Engage with business stakeholders, analysts, and other technical teams to understand data requirements and provide solutions that meet business needs.
- Technology Evaluation: Stay up to date with the latest trends and tools in data modeling, database management, and data architecture to recommend best practices and innovative solutions.
- Education: Bachelor's degree in Computer Science, Information Systems, or a related field.
- Experience: 15+ years of experience in data modeling, database design, and data architecture.
- Skills: Proven experience with Data Vault and Kimball modeling, Data Vault 2.0 certification, experience with relational and non-relational databases, and hands-on experience with data warehousing solutions, data lakes, and big data technologies.
