Snowflake Data Engineer – Semantic Layer & Analytics Engineering at Arvenise | Torre
Snowflake Data Engineer – Semantic Layer & Analytics Engineering
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Snowflake Data Engineer – Semantic Layer & Analytics Engineering

You'll architect scalable data solutions and drive insights using Snowflake and AI for critical business impact.
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Full-time

Legal agreement: To be defined

USD75.4K - 100K/year

~COP150M - 200M/year

+ Equity

+ Bonuses

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Remote (anywhere)
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Emma of Torre.ai
4 days ago

Requirements and responsibilities


Design and develop scalable data pipelines in SnowflakeDesign, build, and maintain dimensional models, Gold datasets, and semantic layersOptimize query performance, data quality, and platform efficiencyImplement CI/CD practices for data engineering workflowsCollaborate with Analytics, BI, and business teams to define data requirementsCreate technical documentation and operational runbooksProvide production support, troubleshooting, and continuous platform improvementsRequired Qualifications8+ years of experience in Data EngineeringStrong hands-on expertise with Snowflake and modern data engineering practicesExperience implementing Medallion Architecture using Snowflake Cortex AIStrong expertise in SQL, ETL/ELT, Data Modeling, and Analytics EngineeringExperience building semantic layers and business-ready datasetsFamiliarity with CI/CD pipelines, version control, and data quality frameworksExcellent problem-solving, communication, and stakeholder management skillsMandatory SkillsSnowflakeMedallion ArchitectureSnowflake Cortex AISQLETL/ELT DevelopmentData ModelingSemantic Layer & Analytics Engineering
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