
AI Data Engineer
4 semanas atrás
Formação:
- Graduação em Ciência de Dados, Engenharia de Computação, Sistemas de Informação ou áreas afins.
- Desejável certificação em engenharia de dados (Azure Data Engineer Associate, Databricks).
Experiência:
- 5+ anos em engenharia de dados ou ciência de dados aplicada.
- Conhecimento de banco de dados relacionais e no-sql.
- Experiência com vetorização de dados e busca semântica.
- Vivência em pipelines de ETL/ELT e modelagem de dados para AI.
Conhecimentos Técnicos:
- Linguagens: Python, SQL.
- Ferramentas: AWS Glue, Azure Data Factory.
- Banco de dados: PostgreSQL e MongoDB.
- Bancos de dados vetoriais: Pinecone, Azure AI Search.
- Governança de dados, LGPD, GDPR.
- Data lineage, qualidade de dados e controle de versões.
Soft Skills:
- Atenção a detalhes e qualidade da informação.
- Capacidade de documentar e padronizar processos de dados.
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