Data Modeler
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- Experience building and migrating data assets
- Data products modeling within data mesh architecture
- Hands-on experience leading the design and implementation of technical data models and data products within the data mesh architecture
- Hands-on data engineering experience with Databricks and Spark
- Hands-on experience in design, implementation and optimization of technical Data Pipelines
- Hands-on experience in design, implementation and management of the technical Data Products lifecycle
- Proficiency in SQL and Python
- Design and implement scalable and efficient data models within the data mesh architecture, considering factors such as domain-driven design, data as a product, and federated data governance
- Work closely with data architects, data engineers, business users and translate business needs into technical solutions, and communicate data model designs effectively
- Leverage Databricks for data engineering tasks such as data processing, data validation and data orchestration
- Optimize data pipelines and ensure reliable and efficient data processing, high performance, and scalability
- Implement data validation rules and data quality checks to ensure data integrity and consistency
- Data Mesh Data Modeler with Databricks Expertise
- Skilled Data Mesh Data Modeler with Data Engineering expertise in Databricks
- Lead the design and implementation of data models and data products within the Data Mesh Architecture
- Design, implement and optimize Data Pipelines
- Design, implement and manage the lifecycle of Data Products
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