Data Modeler
vor 3 Wochen
K&K Social Resources & Development GmbH is an International Recruiting Agency that has been providing technical resources in the European region since 1993. This position is with one of our clients in Germany who is actively hiring candidates to expand their teams.
Role: Data Modeler
Location : Frankfurt Germany (Hybrid)
Type: Permanent/Contract
Roles & Responsibilities-
- 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.
- 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).
- 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.
- Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.
- Work proactively and in dependent.
Note: Applicants for employment in Germany should possess work authorization which does not require sponsorship by the employer for a visa.
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