Data Modeler

5 Months ago • All levels

Job Summary

Job Description

The Data Modeler is responsible for analyzing business needs and translating them into long-term solution data models. This role involves evaluating existing data systems, collaborating with the development team to create conceptual data models and data flows, and developing best practices for data coding to ensure system consistency. The Data Modeler will review modifications for cross-compatibility, implement data strategies, develop physical data models, and update/optimize local and metadata models. They will also evaluate implemented data systems for variances, discrepancies, and efficiency, and maintain logical and physical data models with accurate metadata. Strong knowledge in databases, cloud technologies, and Data Vault Architecture is required.
Must have:
  • Analyze and translate business needs into data models.
  • Evaluate existing data systems.
  • Create conceptual data models and data flows.
  • Develop data coding best practices.
  • Review system modifications for cross-compatibility.
  • Implement data strategies and develop physical data models.
  • Update and optimize data models and metadata.
  • Evaluate implemented data systems.
  • Maintain logical and physical data models.
  • Strong knowledge in databases, cloud technologies, and Data Vault Architecture.

Job Details

Description

  • Analyzing and translating business needs into long-term solution data models.
  •  Evaluating existing data systems.
  •  Working with the development team to create conceptual data models and data flows.
  •  Developing best practices for data coding to ensure consistency within the system.
  •  Reviewing modifications of existing systems for cross-compatibility.
  •  Implementing data strategies and developing physical data models.
  •  Updating and optimizing local and metadata models.
  •  Evaluating implemented data systems for variances, discrepancies, and efficiency.
  •  Maintain logical and physical data models along with accurate metadata.
  •  Analyze data-related system integration challenges and propose appropriate solutions with strategic approach Should have Strong knowledge in Databases, cloud technologies, Data Valut Architecture.

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