Engenheiro de Dados Sênior

📋 Description

• Design, develop, and maintain scalable data architectures using Microsoft Azure and Databricks
• Build and optimize modern Lakehouse solutions using Delta Lake and Unity Catalog
• Design, implement, maintain, and optimize robust data pipelines
• Leverage Apache Spark and PySpark to develop high-performance data processing solutions
• Support the development and optimization of streaming data architectures and processing workflows
• Establish and implement data quality controls, validation processes, and monitoring mechanisms

🎯 Requirements

• Extensive experience as a Senior Data Engineer and/or Data Architect
• Advanced knowledge of Databricks and Microsoft Azure
• Strong experience with Lakehouse architecture principles, Delta Lake, and Unity Catalog
• Advanced proficiency in Apache Spark and PySpark
• Demonstrated experience building, maintaining, and optimizing scalable data pipelines
• Strong understanding of data engineering principles, analytics requirements, data integration

🎁 Benefits

• Fully Remote Work from Brazil
• Long-Term Opportunity with indefinite-term contract
• Access to learning incentive programs, including Udemy resources
• Access to corporate English lessons at affordable rates
• Work with clients and technical teams in the United States and Canada
• Expand your expertise in Databricks, Microsoft Azure, Lakehouse architecture, advanced data