Engenheiro de Dados

📋 Description

• The role focuses on designing and building data foundations for scalable analytics solutions.
• Hands-on development of data integrations, pipelines, and transformations moving data from multiple
• Work with distributed processing and cloud-based data services, including streaming platforms.
• Collaborate with technical teams to improve data architecture, quality, and operational efficiency.

🎯 Requirements

• Hands-on data engineer with experience building data pipelines and processing.
• Strong knowledge of Apache Spark for batch and streaming data.
• Experience with messaging/event-driven architectures using Apache Kafka and Amazon Kinesis.
• Proficiency in Python and/or Scala, advanced SQL skills.
• Experience with data formats like CSV, JSON, TXT and API/data source integration.
• Cloud data services and AWS environments experience.

🎁 Benefits

• Remote work model.
• Opportunity to work on modern data engineering projects using cloud technologies.
• Hands-on experience with scalable data architectures and processing frameworks.
• Professional growth in a technology-focused environment.
• Collaborative environment with innovative data solutions.
• Exposure to industry-leading tools for data processing, streaming, and cloud infrastructure.