Streaming Data Engineer
vor 4 Wochen
About the Role Are you passionate about real-time data and cutting-edge streaming technologies? We’re looking for a Streaming Data Engineer to build and optimize high-performance data pipelines that process millions of events per second If you thrive in fast-paced environments and love solving complex challenges, this is the role for you. What You’ll Do Architect, build, and optimize real-time data streaming pipelines using Kafka, Flink, Spark Streaming, or similar technologies. Design scalable, low-latency solutions to process massive volumes of data. Work closely with software engineers, data scientists, and DevOps teams to integrate streaming solutions into our platform. Monitor and enhance pipeline performance for fault tolerance, security, and efficiency . Implement data governance, compliance, and best practices in real-time data engineering. What You Bring Proven expertise in real-time data streaming and event-driven architectures. Strong hands‑on experience with Kafka, Flink, Spark Streaming, or similar technologies. Proficiency in Java, Scala, or Python for data engineering. Deep understanding of distributed computing, messaging systems, and cloud platforms (AWS, Azure, GCP) . Familiarity with SQL and NoSQL databases for real‑time analytics. Experience with Docker, Kubernetes, and CI/CD pipelines is a plus To be considered for the role click the 'apply' button or for more information about this and other opportunities please contact Yash Kumar Jain on or email: and quote the above job reference number. Paxus values diversity and welcomes applications from Indigenous Australians, people from diverse cultural and linguistic backgrounds and people living with a disability. If you require an adjustment to the recruitment process, including the application form in an alternate format, please contact me on the above contact details. #J-18808-Ljbffr
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