Senior Data Engineer, LATAM

Required

• At least 5 years building and operating production data platforms across multiple sources, from architecture through ongoing operations.
• Production experience with workflow orchestration, including dependencies, retries, and failure recovery. Airflow is preferred; Dagster, Prefect, Temporal, or comparable tools are relevant.
• Hands-on production experience with dbt and Google Cloud Platform.
• Strong Python skills, including asynchronous HTTP and concurrent processing with asyncio, aiohttp, HTTPX, or similar tools.
• Strong SQL and PostgreSQL skills, including data modeling, query optimization, and incremental loading.
• Experience with event-driven systems, messaging or task queues, asynchronous processing, and recovery from failures.
• Experience implementing data contracts, raw and curated storage, retention policies, automated validation, pipeline tests, and monitoring.
• Web scraping, entity resolution, data enrichment, BigQuery, or Dataform experience is helpful, as is building platforms from scratch in a small team.