Data Modeler

4 - 7 years

0 Lacs

Posted:10 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

About the Role



About the Role

Mode of Work:

Location:

Experience:

Must Have:


Responsibilities


  • Design and develop scalable, high-performance data models using Snowflake for enterprise-level data warehousing solutions.
  • Collaborate with business stakeholders and data engineering teams to understand data requirements and translate them into logical and physical data models.
  • Lead source-to-target mapping, dimensional modeling (star/snowflake schemas), and metadata management.
  • Ensure data consistency, integrity, and alignment across systems through robust data reconciliation and validation frameworks.
  • Optimize data models for performance, scalability, and maintainability.
  • Support ongoing report development and data validation efforts across multiple retail brands.
  • Provide domain expertise in retail operations, merchandising, inventory, and sales analytics.
  • Document data models, definitions, and business rules for cross-functional understanding.
  • Mentor junior data modellers and analysts.


Qualifications

  • Proven experience in Snowflake data modelling and architecture.
  • Strong understanding of data warehousing concepts, ETL/ELT processes, and dimensional modelling.
  • Agile development methodologies (Scrum, Kanban, etc.).
  • Hands-on experience with SQL, dbt, and data visualization tools (e.g., Power BI, Tableau).
  • Deep domain knowledge in retail, especially clothing/apparel — including product hierarchies, SKU-level data, inventory management, and sales performance.
  • Experience working in Agile environments and cross-functional teams.
  • Excellent communication and stakeholder management skills.


Required Skills

  • Proven experience in Snowflake data modelling and architecture.
  • Strong understanding of data warehousing concepts, ETL/ELT processes, and dimensional modelling.
  • Agile development methodologies (Scrum, Kanban, etc.).
  • Hands-on experience with SQL, dbt, and data visualization tools (e.g., Power BI, Tableau).
  • Deep domain knowledge in retail, especially clothing/apparel — including product hierarchies, SKU-level data, inventory management, and sales performance.
  • Experience working in Agile environments and cross-functional teams.
  • Excellent communication and stakeholder management skills.


Preferred Skills


  • Experience working in Agile environments and cross-functional teams.
  • Excellent communication and stakeholder management skills.


Equal Opportunity Statement


  • We are committed to diversity and inclusivity.

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