Location : Houston TX , Newyork and Wisconsin Any one of the location onsite
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“Key Responsibilities
             Design logical and physical models for enterprise data warehouses and data marts using dimensional modeling and Data Vault techniques
              Develop optimized schemas based on data usage patterns query requirements and Snowflake architecture to reduce compute costs and improve execution speed
             Collaborate with business users and stakeholders to understand data needs identify key metrics and translate them into data models suitable for Snowflake
             Design and document data models using industry best practices including creating conceptual logical and physical data models within the Snowflake environment
             Develop optimized data schemas star snowflake dimensional based on data usage patterns and query requirements considering data volume and performance considerations
             Implement data governance practices to ensure data quality security and compliance with relevant regulations
             Create detailed data model documentation and provide training to data engineers and analysts on data structures and access methods
             Enforce data quality frameworks metadata management and compliance standards within the Snowflake environment
             Create data dictionaries and detailed model documentation provide training to analysts on accessing data structures
             Enforce data quality frameworks metadata management and compliance standards within the Snowflake environment
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Required Skills
             10 years of experience in data warehousing and data modeling with a minimum of 5 years specifically dedicated to Snowflake environments
             Deep understanding of Snowflake architecture features query language SQL and data modeling capabilities
             Strong ability to diagnose bottlenecks and tune SQL queries for performance
             Extensive experience in designing and implementing relational dimensional and star schema data models
             Ability to analyze data usage patterns and identify potential data quality issues
             Understanding of data integration principles and tools
             Familiarity with integrating Snowflake with underlying cloud providers like AWS Azure or GCP”
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Neha Chaudhary |