Mid Level Data Engineer

📋 Description

• Design, develop, and maintain scalable data pipelines using Databricks and PySpark.
• Build and support data ingestion, transformation, and processing workflows within modern Data Lake
• Integrate data from multiple sources, systems, and databases.
• Develop reliable, scalable, and maintainable data engineering solutions.
• Work with technologies including Python, Azure, and Kafka to support data processing and
• Work with relational and NoSQL databases, including MySQL, SQL Server, and Couchbase.

🎯 Requirements

• Professional experience working in Data Engineering or a closely related technical field.
• Hands-on experience with Databricks and PySpark.
• Proven experience developing, maintaining, and troubleshooting data pipelines.
• Solid understanding of Data Lake concepts, data processing, and modern data engineering practices.
• Strong knowledge of Python.
• Practical experience with Microsoft Azure and cloud-based data environments.

🎁 Benefits

• Fully remote work opportunity within Brazil.
• Health and dental insurance.
• Meal and food allowances.
• Childcare assistance.
• Extended paternity leave.
• Access to gym, fitness, and wellness partnerships through programs such as Wellhub and TotalPass.