Mid-level Data Engineer

Requisitos

• 2–4 years of data engineering experience in a production environment
• Solid SQL: multi-stage CTEs, window functions, and well-optimized queries
• Working knowledge of dbt: models, tests, sources, and basic macros
• Experience with Snowflake or a similar cloud data warehouse (BigQuery, Redshift, Databricks)
• Comfort with dimensional modeling and layered (medallion) architectures

Desejáveis

• Python for data validation or transformation logic
• dbt macros and Jinja templating
• Exposure to investment, financial, or alternative data