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We are seeking a skilled Azure Data Modeler to design and implement data models and architectures in Microsoft Azure environments. The candidate will collaborate with business and technical teams to ensure efficient data storage, accessibility, and analytics capabilities.
Job Responsibility:
Design, develop, and maintain data models in Azure (Data Lake, Synapse, SQL)
Collaborate with data engineers, analysts, and business stakeholders to gather requirements
Optimize data structures for performance, scalability, and analytics
Implement best practices for data modeling, governance, and documentation
Support ETL/ELT processes and ensure data integrity across systems
Develop metadata, naming conventions, and data dictionaries for enterprise data
Troubleshoot data issues and recommend solutions to optimize storage and retrieval
Requirements:
Strong experience with Azure Data services: Synapse, Data Lake, SQL, Databricks
Expertise in data modeling concepts: star schema, snowflake, normalized/denormalized models
Knowledge of SQL, Python, or Spark for data manipulation
Experience with ETL/ELT pipelines and cloud data integration
Strong analytical, problem-solving, and communication skills
Nice to have:
Azure certification such as Azure Data Engineer Associate
Experience with Power BI or other reporting tools
Familiarity with enterprise data governance and compliance