Senior Data Engineer

Requisitos

• Built multi-source production data platforms from zero to one (architecture through deployment and operation)
• Production experience with workflow orchestration tools (Airflow, Dagster, Prefect, or Temporal), incl. dependencies, retries, failure re..
• Hands-on production experience with dbt and GCP
• Experience building event-driven systems with messaging/task queues, incl. async processing and failure recovery
• Strong SQL and PostgreSQL: data modeling, query optimization, reliable incremental loading

Desejáveis

• Airflow experience
• Experience working in startups or small engineering teams with broad ownership
• Entity resolution experience (matching/reconciling company and people records)
• LLM-based structured extraction or company/people data enrichment
• Familiarity with BigQuery and Dataform