Data Engineer

• Modernize and structure the Data Lake, ensuring platform scalability and health using Microsoft Fabric (OneLake, Dataflows Gen2) and Azure Synapse.
• Develop and optimize data ingestion pipelines with end-to-end automation and monitoring, integrating Microsoft Fabric Pipelines and Dataflows for efficient processing.
• Implement data governance practices, ensuring compliance with regulations such as LGPD and GDPR, using tools like Microsoft Purview and RBAC in Microsoft Fabric.
• Work with ingestion and processing architectures for real-time and batch data using Microsoft Fabric, Azure Data Factory, and Synapse Analytics.
• Select and integrate appropriate technologies for the data ecosystem, including ETL/ELT tools, Data Lake solutions, Microsoft Fabric, and distributed processing.
• Monitor and ensure data observability using quality metrics and detailed logs within Microsoft Fabric and Azure Monitor.
• Collaborate with AI/ML teams, providing infrastructure and prepared datasets for modeling and analysis with Microsoft Fabric, SynapseML, and Azure Machine Learning.
• Drive the evolution of the cloud environment and cost optimization, considering different payment models and compute efficiency in Microsoft Fabric and Azure Cost Management.
• Form an agile squad and contribute to project delivery within the scheduled timeframe, applying data engineering best practices and governance in Microsoft Fabric.

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Data Engineer