Senior Data Streaming Engineer

Responsibilities: - Develop and maintain real-time streaming pipelines using Apache Flink. - Design scalable and low-latency streaming architectures. - Optimize performance, reliability, and observability of streaming applications. - Ensure data quality and fault tolerance across production systems. - Collaborate with cross-functional teams to deliver technical solutions. - Contribute to the continuous improvement of the streaming platform. Requirements: - Strong hands-on experience with Apache Flink. - Solid understanding of event-driven architectures and distributed systems. - Experience with Kafka and real-time data streaming platforms. - Good knowledge of: Event time processing, Watermarks, Checkpoints and save points, Stateful processing, Exactly-once semantics, Fault tolerance. - Experience with monitoring and production-grade observability. - Strong problem-solving skills and ownership mindset. - Professional proficiency in Portuguese language is mandatory. Nice to Have: - Experience with cloud-native technologies and containerized environments. - Familiarity with CI/CD and Agile environments. Benefits: - Opportunity to work on modern real-time data platforms. - International and collaborative environment. - Professional growth and learning opportunities. - Flexible and dynamic culture.