Analytics Engineer

📋 Description

• Build and maintain the dbt transformation layer (staging → intermediate → marts) with dimensional
• Partner with business stakeholders to translate reporting and analytics requirements into
• Design, build, and maintain Snowflake Semantic Views — defining the tables, relationships, facts
• Author and curate verified queries, synonyms, and metric definitions so semantic views reliably
• Use AI/LLM tools (e.g., Claude, Copilot, or similar) as part of the daily engineering workflow —
• Own data quality, testing, and documentation for your models, and support the governance and

🎯 Requirements

• Hands-on production experience building analytics models with dbt (staging/marts patterns, tests
• Strong dimensional and semantic data modeling skills — star schemas, facts vs. dimensions, grain
• Production experience with Snowflake, including building or maintaining semantic views / semantic
• Ability to translate business metric definitions into governed, reusable data models and semantic
• Git-based version control and code review workflows for analytics code.
• Strong SQL skills and hands-on Python experience for data transformation, testing, and tooling.

🎁 Benefits

• Company-wide bonuses based on monthly targets, employee referral bonuses, adoption assistance
• Modern, high-tech, and fun work environment with location-specific benefits details available on
• Note: An applicant assessment and background check may be part of your hiring procedure.