Join a data platform modernization project migrating a legacy Python/Spark ETL framework into dbt
Collaborate with Lead Data Engineer and client engineers to migrate legacy ETL configurations
Reverse-engineer legacy logic, author maintainable dbt SQL models, and enforce testing protocols.

🎯 Requirements

dbt Core: 2+ years of production experience with sources.yml, schema.yml, tests (not_null, unique
Databricks ecosystem: Delta Lake, Unity Catalog, Databricks SQL Warehouses; exposure to Databricks
Advanced SQL and legacy migration: strong SQL, CTEs, window functions; convert legacy Python ETL to
Git & CI/CD: PR-reviewed workflows with automated CI/CD testing (GitHub Actions).
Excellent problem-solving, ownership, documentation-first approach, and data quality focus.

🎁 Benefits

Remote-friendly with embedded, cross-functional collaboration; equal opportunity employer.

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