Senior Data Engineer

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Descrizione

About the Role Join a data infrastructure team building a platform that turns information from multiple sources into reliable, up-to-date company intelligence. You will own the platform end-to-end, from ingestion architecture to production operations, supporting data products with trusted records. What You'll Do Design and build a multi-source platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows. Ingest data from provider APIs, webhooks, files, and web scraping, with rate limiting and robust failure handling. Orchestrate scheduled workflows and historical backfills using tools such as Airflow, Dagster, or Prefect. Build queue-based event systems with retries, dead-letter handling, and controlled replay. Preserve original data in cloud storage and transform it with dbt into raw, standardized, and curated layers. Implement idempotent loading, data contracts, validation, pipeline tests, freshness monitoring, and failure alerts. Design and optimize PostgreSQL schemas and loading patterns, and integrate enrichment and LLM-based structured extraction. What We're Looking For At least 5 years building and operating production data platforms, with ownership from architecture through ongoing operations; 8 or more years is a plus. Production experience with workflow orchestration such as Airflow, Dagster, Prefect, or Temporal, including dependencies, retries, and failure recovery. Airflow is preferred. Hands-on production experience with dbt and G

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