Senior Data Engineer

📋 Description

• Act as a technical advisor for Databricks and data privacy/governance integration.
• Support connectivity, access permissions, metadata, and security in Databricks.
• Guide and validate data discovery, classification, and scanning in the Data Lake.
• Provide expertise on Databricks data structures, access patterns, and security models.
• Collaborate with engineering and business teams to ensure data integrity and compliance.
• Document data architectures, workflows, and technical processes.

🎯 Requirements

• Experience in Data Engineering or related roles.
• Advanced English (C1+), both written and spoken.
• Databricks (required): delta tables, access control, connectors, metadata management.
• SQL and Apache Spark proficiency.
• Cloud data environments; Data Lake and Data Warehouse architectures; dimensional modeling.
• LGPD and GDPR compliance knowledge.

🎁 Benefits

• Health and dental insurance
• Meal and food allowance
• Childcare assistance
• Extended paternity leave
• Profit Sharing and Results Participation (PLR)
• Continuous learning platform (CI&T University)