Data Modeler
vor 4 Wochen
**Job Description**:
Role : Data Modeler
Location : Frankfurt Germany (Hybrid)
Type: Permanent OR Contract
- More than 8+ years of experience in various data architecture and engineering roles within data & analytics
- Collaborate with stakeholders to understand and document data requirements, business rules, and objectives for the data platform.
- Design and develop conceptual, logical, and physical data models that accurately represent the organization's data assets and support its business needs.
- Ensure designs meet documented objectives for reliability, scalability, supportability, user experience, security, governance, performance and more
- Implement data modeling best practices, including normalization, denormalization, and indexing, to ensure data integrity, performance, and scalability.
- Work closely with data engineers and architects to integrate data models into the overall platform architecture, ensuring efficient data processing and storage.
- Evaluate and recommend appropriate data storage technologies and database management systems based on project requirements and constraints.
- Drive data modeling automation to optimize solutions time to market, increase solutions transparency and overall quality as well as code portability
- Collaborate with data analysts to understand analytical requirements and ensure that data models support effective data analysis and reporting.
- Communicate effectively with technical and non-technical stakeholders to present and explain data models, design decisions, and recommendations.
- Good understanding of key data modeling concepts & patterns related to data systems architecture.
- 5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
- Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
- Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
- Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
- Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.
- Work proactively and in dependent
About Company
We are committed to providing solutions that are simple to use and cost-effective, that meet the specific set of needs defined, and that are adaptable to meet future needs.
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