




Job Summary: A data professional focused on architecture, engineering, and governance, using Azure tools to build pipelines and model data. Key Highlights: 1. Experience in data architecture and engineering, and ETL/ELT pipelines 2. Knowledge of data governance and compliance (LGPD) 3. Ability to design and optimize Data Lake structures Description: A valid undergraduate degree issued within national territory in Information Technology or in a mathematics-based field such as Engineering, Statistics, Physics, or Mathematics; or A valid undergraduate degree issued within national territory in a non-mathematics-based field, plus a postgraduate degree in Information Technology. Professional Experience: * Experience in data architecture and engineering (or similar) and building ETL/ELT pipelines * Knowledge of data governance and regulatory compliance, including LGPD and other regulations * Ability to design and optimize Data Lake structures * Experience in data storage and modeling in Azure SQL * Experience in integrating heterogeneous data sources and distributed solutions * Experience with version control tools * Experience with Microsoft Azure services such as ADF, Synapse, Data Lake Gen 2, Databricks, or Fabric. * Design ETL/ELT pipelines and integration workflows between systems; * Structure Data Lakes and relational and analytical data models; * Ensure compliance with regulations and legislation, including LGPD; * Promote interoperability among heterogeneous data sources; * Implement scalable solutions using Azure Data Factory, Synapse, Databricks, or Fabric. 2511130202461866318


