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Cloud Data Engineer (GCP)

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djinni.co
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Що робити

  • Design and build modern data platforms for enterprise clients working with structured and unstructured datasets.
  • Build, maintain, and optimize internal financial and operational analytics pipelines in BigQuery and Looker.
  • Collaborate with the team during discovery phases to provide technical expertise, live demos, and solution scoping.
  • Continuously monitor and tune BigQuery cost, scalability models, and ETL pipeline performance.
  • Run workshops and deliver technical presentations to stakeholders to define and refine data architectures.

Що очікуємо

  • Languages: Native/fluent Ukrainian and B2+ English.
  • Core GCP Stack: 3+ years in Data Engineering with deep hands-on experience in BigQuery, Cloud Storage, Cloud Functions, and BigQuery ML.
  • ETL/ELT Engineering: Proven experience with Dataflow, Dataproc, Pub/Sub, Cloud Composer, or Dataform for optimizing data pipelines.
  • Data Modeling & Analytics: Proficiency in Looker / Looker Studio, with a knack for turning complex data into clear financial and operational metrics.
  • Code & Querying: Advanced SQL (performance tuning, cost optimization) and Python (API integrations, scripting).

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