Are you a skilled Data Streaming Engineer passionate about real-time data processing and cutting-edge technology? Join our PBT team and play a pivotal role in shaping data streaming architecture. This position offers the opportunity to work with industry-leading tools like Kafka and Flink, collaborating with talented development and data engineering teams to deliver efficient and scalable solutions.
Key Responsibilities: Build and Maintain: Design, develop, and manage robust streaming pipelines using Kafka and Flink.Real-Time Processing: Handle data integration, transformation, and processing in real-time environments.Collaboration: Work closely with engineering teams to integrate streaming solutions into the broader data ecosystem.Reliability: Implement monitoring and alerting systems to ensure the reliability and performance of data pipelines.Optimization: Develop fault-tolerant systems and optimize data flows for scalability and efficiency.Key Requirements: Expertise in Kafka and Flink: Proven experience with these technologies is essential.Real-Time Data Processing: Strong background in distributed systems and real-time data solutions.Data Engineering Experience: Skilled in building scalable and maintainable data pipelines.Java, or Scala.Programming Proficiency: Advanced knowledge of Python, Java, or Scala.AWS, GCP, or Azure is a significant advantage.Cloud Platforms: Experience with AWS, GCP, or Azure is a significant advantage.DevOps Familiarity: Understanding of DevOps tools and principles.Additional Skills: Problem-Solving: Analytical mindset with the ability to tackle complex challenges.Independence: Ability to work autonomously while managing intricate projects.Communication: Strong verbal and written communication skills for effective collaboration with cross-functional teams.* In order to comply with the POPI Act, for future career opportunities, we require your permission to maintain your personal details on our database. By completing and returning this form you give PBT your consent Salary: R Job Reference #: 1146318