Chief Data Engineering Officer

Há 10 horas

Belo Horizonte MG, Brasil beBeeDataEngineer Tempo inteiro

Enterprise Data Solutions Architect We are seeking an experienced Enterprise Data Solutions Architect to design and implement scalable, governed, and performant data solutions. This role will leverage Azure Databricks, Azure Data Factory, SQL Server, and Python to modernize our data platform on the Azure Cloud. About the Role Develop ETL/ELT pipelines using Azure Databricks (PySpark, Delta Lake) and Azure Data Factory (ADF). Design complex data flows and transformations with ADF, PySpark, and T-SQL for seamless data extraction, transformation, and loading. Optimize database performance through SQL query tuning, index optimization, and code improvements to ensure efficient data retrieval and manipulation. Maintain and enhance SSIS package design and deployment for legacy workloads; contribute to migration and modernization into cloud-native pipelines. Work with cross-functional teams using Git (Azure Repos) for version control and Azure DevOps pipelines (CI/CD) for deployment. Partner with governance teams to integrate Microsoft Purview and Unity Catalog for cataloging, lineage tracking, and role-based security. Requirements 5+ years of hands-on expertise with Azure Databricks, Python, PySpark, and Delta Lake. 5+ years of proven experience with Azure Data Factory for orchestrating and monitoring pipelines. Strong SQL Server / T-SQL experience with a focus on query optimization, indexing strategies, and coding best practices. Demonstrated experience in SSIS package design, deployment, and performance tuning. Hands-on knowledge of Unity Catalog for governance. Experience with Git (Azure DevOps Repos) and CI/CD practices in data engineering projects. Preferred Qualifications Microsoft Certified: Azure Data Engineer Associate (DP-203) Microsoft Certified: Azure Solutions Architect Expert or equivalent advanced Azure certification Databricks Certified Data Engineer Associate or Professional

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