Engenharia de Dados | Híbrido/SP - 134478
BRL 72K-96K (estimate) Senior-level Full Time
Tasks
- Build data pipelines
- Create semantic models for Business Intelligence
- Define pipeline standards CI CD and observability
- Design Lakehouse architecture
- Develop Power BI analytics solutions
- Enable applied AI features on data platform
- Ensure data quality performance security and governance
- Implement Delta and Parquet data formats
- Implement data governance with Microsoft Purview
- Integrate data using OneLake and ADLS Gen2
- Lead data engineering initiatives
- Mentor junior and mid-level engineers
- Model multidimensional analytics schema
- Review code and architecture
Perks/Benefits
- N/A
Skills/Tech-stack
ADLS Gen2 | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | Azure Synapse | Azure Synapse Analytics | Business Analytics | CI/CD | Copilot | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Observability | Data Quality | Data Security | Delta | Delta Lake | Direct Lake | EventStream | GitHub | KQL | Lakehouse | MLOps | MLlib | Microsoft Fabric | Microsoft Purview | Nl2sql | OneLake | Parquet | Power BI | PySpark | Python | RAG | SQL | Semantic Modeling | Spark | Star Schema | Synapse Analytics | Vectorization
Education
N/A
Roles
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