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Open nowPosted 4 days ago

11089 - Engenheiro(a) de Dados | Google Cloud (GCP) - Sênior

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Your applicationOpen now11089 - Engenheiro(a) de Dados | Google Cloud (GCP) - SêniorRunTalent · Remote

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 4 days ago

The posting

Oportunidade: Engenheiro(a) de Dados | Google Cloud (GCP) - Sênior Requisitos: • Ingestão de dados com Dataflow (Apache Beam) para pipelines de ETL/ELT escaláveis, incluindo extração de origens externas como Oracle na OCI e SQL Server on-premise. • Ingestão em tempo real com Pub/Sub e ingestão batch com Storage Transfer (a partir do próprio GCS ou de origens externas, como buckets S3 da AWS). • Integração com bancos externos (Oracle, SQL Server, MySQL) via JDBC, Dataflow templates ou extração customizada. • BigQuery: modelagem, otimização de queries, particionamento e clustering. • Cloud Storage como Data Lake em camadas (raw, bronze, silver, gold). • Dataform ou dbt para orquestração SQL no BigQuery, com boas práticas de modelagem dimensional. • Processamento batch e streaming (Beam, SQL streaming). • Orquestração com Cloud Composer (Airflow) ou Workflows, e integração com Cloud Functions / Cloud Run para tarefas serverless. • SQL avançado (BigQuery SQL), Python (Dataflow, automações, ETL) e Git com CI/CD. Desejáveis • Dataproc, Bigtable e Firestore (casos NoSQL). • Documentação e catalogação de dados com Dataplex / Data Catalog. • Conhecimento de sistemas da área da saúde: ◦ Prontuário Eletrônico do Paciente (PEP / EMR / EHR): histórico clínico, consultas, exames, prescrições e evolução do paciente. ◦ Sistemas de apoio diagnóstico: RIS (Radiology Information System, gestão de exames de imagem) e LIS (Laboratory Information System, gestão de exames laboratoriais). ◦ Sistemas de agendamento e regulação: controle de consultas, internações e centro cirúrgico Atividades: • Projetar e implementar pipelines de ingestão, transformação e orquestração de dados na Google Cloud. • Garantir qualidade, confiabilidade e escalabilidade dos fluxos de dados batch e streaming. • Otimizar custos de armazenamento e processamento (BigQuery, Dataflow, Dataproc, Pub/Sub). • Colaborar com cientistas de dados e analistas, entregando dados prontos para consumo. Periodo: 12 meses Modelo de atuação: remoto

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