Tech Stack

Description

You will design and build analytics data pipelines using DBT and Snowflake, creating modular and scalable data models that support self-service analytics and reporting. Your work will directly improve supply chain risk and compliance for global organizations.

Requirements

• 4+ years experience engineering analytics pipelines, preferably in SaaS
• 1+ year experience using DBT for modular model design, testing, and deployment
• Advanced proficiency in SQL (CTEs, window functions, recursion)
• Experience with modern cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks)
• Understanding of data modeling techniques (star schema, Snowflake schema, data vault)

Responsibilities

• Design and build layered DBT models (staging, intermediate, marts) for finance and customer data
• Integrate and transform data from diverse sources into a unified data model
• Implement DBT best practices: modular packages, Jinja logic, quality tests, documentation
• Deliver certified data products and support semantic layer implementation in DBT
• Define and implement business-aligned data quality rules and certification standards