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Senior Data Engineer (MLOps)

Nucleus Labs, Cambridge, MA
Рівень:
senior
Джерело:
jobs.dou.ua
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Що робити

  • Turn the target architecture into a working data platform: raw zone, ETL, unified data model and analytics layer.
  • Review and harden the platform design before building, and document the decisions.
  • Build the ingestion and transformation pipelines that take client data dumps through to the unified data model.
  • Implement the database schema from the data dictionary and keep the two aligned as the model evolves.
  • Establish the model deployment path — versioning, packaging, promotion to production and rollback — so models are no longer pushed by hand.

Що очікуємо

  • Senior-level commercial data engineering experience, including ownership of a production data pipeline.
  • Strong Python.
  • Hands-on experience designing and implementing ETL pipelines and data models from raw source data to a curated layer.
  • Solid SQL and relational database schema design.
  • Experience building on AWS with open-source tooling.

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