Snowflake Data Engineer
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Role details
Tech stack
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Job description
Lead migration of legacy data warehouses and ETL platforms to Snowflake. Define data modeling standards including Star Schema, Snowflake Schema, Data Vault, and Kimball methodologies. Design and implement data ingestion frameworks using batch and real-time processing. Optimize Snowflake performance, storage, compute costs, and query execution. Establish security, governance, masking, RBAC, and data-sharing strategies. Collaborate with business stakeholders, data engineers, and analysts to translate requirements into technical solutions. Drive best practices for CI/CD, DevOps, monitoring, and automation within the data platform. Provide technical leadership, mentoring, and architectural guidance to development teams. Conduct architecture reviews and ensure adherence to enterprise standards.
Minimum years of experience 8-10 years
Certifications Needed :No
Requirements
Snowflake Schema, Cloud Computing, Snowflake Schema, Data Migration, Database Extract Transform and Load (ETL), Data Modeling, Star Schema, Standards Development, Performance Tuning/Optimization, Requirements Management
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