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.