Senior Data Engineer, LATAM

Clera

КомпанияClera
ФорматУдалённо
УровеньSenior
Адресremote

Описание

ABOUT THE ROLE

Join a data infrastructure and analytics team building a platform that turns information from multiple sources into reliable, current company intelligence. You will own the platform end-to-end, from architecture and ingestion through production operations.

Обязанности

Design a multi-source data platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows.

Build intake pipelines for APIs, webhooks, files, and web scraping, with rate limits and robust failure handling.

Orchestrate scheduled workflows and historical backfills using tools such as Airflow, Dagster, or Prefect.

Develop messaging and task queue systems with retries, dead-letter queues, and controlled replay.

Preserve source payloads in Google Cloud Storage and transform data 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 and LLM-based structured extraction.

Требования

At least 5 years building and operating production data platforms across multiple sources, with ownership from architecture through deployment and ongoing operations.

Hands-on production experience with dbt and Google Cloud Platform, and workflow orchestration using Airflow, Dagster, Prefect, Temporal, or a comparable tool. Airflow is preferred.

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Senior Data Engineer, LATAM

Описание

Обязанности

Требования

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