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ABOUT THE ROLEWe are looking for a Mid-level Data Engineer to build and maintain dbt pipelines and Snowflake data marts behind customer-facing reporting, spend analytics, and AI features.The mandatory requirements are solid dbt experience (modeling, tests, macros, and incremental models), ingestion and orchestration tools such as Airbyte or Prefect, 3+ years in data or analytics engineering on production pipelines, strong SQL and Python, dimensional modeling, Snowflake or a similar cloud warehouse, and an upper-intermediate English level.
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📌 Senior Data Engineer: Marketing Analytics & Etl (Remote) (Quilmes)
🏢 AESA (A-Evangelista
📍 Quilmes