Engenharia de Dados (Databricks)

📋 Description

• Design, develop, and continuously evolve scalable data solutions within cloud environments.
• Build, maintain, and optimize data pipelines for processing and transforming large volumes of data.
• Use Databricks, Python, PySpark/Spark, SQL, Delta Lake, and Lakehouse architecture to deliver
• Develop and manage Databricks Workflows and Jobs, ensuring effective pipeline orchestration.
• Apply best practices for data performance, governance, monitoring, reliability, and operational
• Analyze technical and business requirements and translate them into sustainable, high-quality data

🎯 Requirements

• Solid professional experience as a Senior Data Engineer.
• Strong hands-on expertise with Databricks and cloud-based data architecture.
• Proven experience designing, developing, and evolving data pipelines.
• Strong knowledge of ETL/ELT processes and large-scale data processing.
• Professional experience with Python and PySpark/Spark.
• Solid SQL skills.

🎁 Benefits

• Permanent CLT employment contract.
• 40-hour workweek with flexible working hours.
• Fully remote work model.
• SulAmérica health and dental insurance, including eligible dependents.
• Flexible meal and food allowance through Caju Benefits.
• Life insurance.