Data Modeler
Job Description
Experience with data modeling principles, including conceptual and logical data modeling. Familiarity with medallion architectures and data warehousing. Developing and presenting recommendations to stakeholders.
Great to have: knowledge of Supply Chain workflow like forecasting data and Inventory planning, Allocations from Warehouse to Stores.
Skills: Erwin, Data Warehousing, medallion architectures, Azure Databricks, Unity catalog
Key Responsibilities
• Data Architect requirement: Gain deeper understanding of the end-to-end flow between systems and processes, participate in requirements gathering discussions with Product Manager and Business Stakeholders, ability to ask good questions help gain deeper understanding..
• Proficient in understanding business needs and translating them into technical requirements.
• Reverse engineering source system data structures for model sourcing.
• Practical experience with physical and relational data modeling.
• Hands-on experience with data modeling principles, including conceptual and logical data modeling.
• Familiarity with medallion architectures and data warehousing.
• Developing and presenting recommendations to stakeholders.
• Great to have knowledge of Supply Chain workflow like forecasting data, Inventory planning and Allocations from Warehouse to Stores
• Excellent communication skills, ability to ask questions and communicate clearly with business stakeholders
Job Description
Experience with data modeling principles, including conceptual and logical data modeling. Familiarity with medallion architectures and data warehousing. Developing and presenting recommendations to stakeholders.
Great to have: knowledge of Supply Chain workflow like forecasting data and Inventory planning, Allocations from Warehouse to Stores.
Skills: Erwin, Data Warehousing, medallion architectures, Azure Databricks, Unity catalog
Key Responsibilities
• Data Architect requirement: Gain deeper understanding of the end-to-end flow between systems and processes, participate in requirements gathering discussions with Product Manager and Business Stakeholders, ability to ask good questions help gain deeper understanding..
• Proficient in understanding business needs and translating them into technical requirements.
• Reverse engineering source system data structures for model sourcing.
• Practical experience with physical and relational data modeling.
• Hands-on experience with data modeling principles, including conceptual and logical data modeling.
• Familiarity with medallion architectures and data warehousing.
• Developing and presenting recommendations to stakeholders.
• Great to have knowledge of Supply Chain workflow like forecasting data, Inventory planning and Allocations from Warehouse to Stores
• Excellent communication skills, ability to ask questions and communicate clearly with business stakeholders
