Senior Data Engineer
📋 Description
- 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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