Business Intelligence Engineer

📋 Description

• Use DBT to design modular data models, enforce data quality, document transformations, collaborate via Git, and deploy DBT pipelines in production.
• Architect layered DBT models (staging → intermediate → marts) for finance and customer master data.
• Develop a unified data model by integrating and transforming data from diverse sources.
• Build and maintain DBT models that serve as business rules frameworks, reducing reliance on external rules engines and streamlining data governance.
• Design and maintain standardized and conformed models (e.g., Client, Customer, Billing entities) for Gold analytics and semantic models.
• Delivery of certified data products and contributes to semantic layer implementation in DBT (reusable dimensions, certified metrics, exposures, and macros).

🎯 Requirements

• 4 years of engineering analytics pipelines experience, SaaS preferred.
• 1 year using DBT to design modular models and deploy pipelines.
• Advanced SQL skills (CTEs, window functions, recursion).
• Experience with Snowflake, BigQuery, Redshift, Databricks.
• Strong data modeling knowledge (star schema, Snowflake schema, data vault).
• Experience with DBT Cloud IDE.

🎁 Benefits

• Health, dental, and vision insurance
• 401(k) plan
• PTO (paid time off)
• Hybrid work schedule (3 days onsite, 2 remote)