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Data Modeler
1 week ago
Responsibilities:
- Designs the overall OLAP data warehouse structure, including dimension tables and fact tables, optimizing for analytical queries
- Database Design: Expertise in relational, dimensional, and NoSQL database models.
- Data Modeling Tools: Proficiency with data modeling tools like ER diagramming software and GCP-specific data modeling features.
- Cloud Computing Knowledge: Understanding of GCP architecture, services like BigQuery, Cloud Spanner, Cloud SQL, and data pipelines.
- SQL and Data Manipulation: Strong SQL skills to query and manipulate data within the cloud environment.
- Data Governance and Security: Awareness of data governance best practices and cloud security measures.
- Communication and Collaboration: Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
- Work closely with data engineers to translate business requirements into technical data models.
- Utilize GCP data modeling tools like BigQuery Data Definition Language (DDL) to create and manage data models.
- Leverage Cloud Dataflow and other data pipeline services to efficiently load and transform data into the designed data models.
- Planning, Developing, and implementing skills that represent the organization's objectives.