Data Modeler
• 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
General Requirements:
• Previous experience in data products modeling within a data mesh architecture
• Strong hands-on expertise in Databricks and Spark
• Proficiency in SQL and Python
• Problem-solving and troubleshooting skills
• Strong communication skills
Responsibilities:
• 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
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