Data Modeler
Data Modeler
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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 nontechnical 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 handson 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 multidatacenter 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).
• Work with business and application/solution teams to implement data strategies build data flows and develop conceptual/logical/physical data models
• Identify the architecture infrastructure and interfaces to data sources tools supporting automated data loads security concerns analytic models and data visualization.
• Handson modeling design configuration installation performance tuning and sandbox POC.
• Work proactively and in dependent
Employment Type
Full Time
