Snowflake Analytics Engineer
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Requirements
Experience Level Required in Years: 8-10 yearsMandatory Required SkillsExpert Snowflake knowledge and advanced dbt (Core/Cloud) experience.Modelling Concepts: Semantic Modelling, Dimensional Modelling (Kimball), Business/Logical/Physical Modelling.Skills: Software engineering mindset applied to SQL; git workflows, and automated testing.Please share the Detailed Job DescriptionKey Responsibilities* Build and maintain scalable modular data models using dbt inside Snowflake.* Transition complex, unoptimised Teradata views into high-performance Snowflaketables.* Implement data quality testing, version control (Git), and CI/CD pipelines foranalytics code.* Manage Snowflake warehouse optimization, access controls (ABAC), and queryperformance tuning.Technical Requirements****Core Platforms: Expert Snowflake knowledge and advanced dbt (Core/Cloud)experience.Modeling Concepts: Semantic Modeling, Dimensional Modeling (Kimball),Business/Logical/Physical Modelling.Skills: Software engineering mindset applied to SQL; git workflows, andautomated testing.