Senior Data Engineer

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Details

Kostenlos, nach der Anmeldung.

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Beschreibung

About the Role Join a data infrastructure and analytics 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 architecture and ingestion through production operations, supporting products with trusted data. What You'll Do Design and build a multi-source data 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 with tools such as Airflow, Dagster, or Prefect. Build event-driven systems with messaging and task queues, including retries, dead-letter queues, and controlled replay. Preserve original payloads in cloud storage and transform them with dbt into raw, standardized, and curated layers. Implement idempotent upserts, data contracts, automated validation, pipeline tests, and monitoring for freshness and failures. Design and optimize PostgreSQL schemas and loading patterns, and integrate enrichment providers and LLM-based structured extraction. What We're Looking For At least 5 years building and operating production data platforms that integrate multiple sources, with ownership from architecture through deployment and ongoing operations. Production experience with dbt and Google Cloud Platform, plus workflow orchestration using Airflow, Dagster, Prefect, Tempo

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