Stream Processing Expert

2 weeks ago

Sydney, New South Wales, Australia beBeeDataScientist Full time $140,000 - $150,000
Job Opportunity

This role is ideal for someone deeply passionate about real-time data processing, eager to tackle complex technical challenges directly alongside customers, and motivated by impactful, hands-on consulting engagements.

About the Role
  • Analyze customer requirements and design scalable, reliable, and efficient stream-processing solutions.
  • Provide technical implementation support and hands-on expertise deploying Apache Flink and Ververica's platform in pre-sales and post-sales engagements.
  • Develop prototypes and proof-of-concept (PoC) implementations to validate and showcase solution feasibility and performance.
  • Offer architectural guidance, conduct in-depth technical reviews, and promote best practices in stream processing.
  • Deliver professional services engagements, including technical training sessions, workshops, and performance optimization consulting.
  • Act as a subject matter expert on Apache Flink, real-time stream processing, and distributed architectures.
  • Create and maintain high-quality technical documentation, reference architectures, best-practice guides, and whitepapers.
  • Stay informed on emerging streaming technologies, cloud platforms, and data engineering methodologies.

The successful candidate will have:

  • Bachelor's or Master's degree in Computer Science, Information Systems, or related technical field.
  • 7+ years of experience in professional services, consulting, or solutions architecture.
  • At least 5 years of experience working with distributed systems, data engineering, or software architecture, including a minimum of 2 years specializing in Apache Flink.
  • Strong proficiency in Java; additional experience with Python and SQL is beneficial.
  • Practical experience with containerization and orchestration technologies (e.g., Kubernetes, Docker).
  • Deep knowledge of cloud-native deployment architectures and experience with AWS, GCP, or Azure.
  • Demonstrated expertise in performance tuning, monitoring, debugging, and optimizing distributed data processing pipelines.
  • Proven experience conducting technical workshops, trainings, or delivering professional services directly to customers.
  • Exceptional problem-solving and troubleshooting skills in complex technical environments.
  • Strong communication and stakeholder management skills; comfortable conveying technical concepts to technical and non-technical audiences.

Preferred qualifications include experience with managed stream-processing services such as Amazon Managed Service for Apache Flink, Kafka Streams, Google Dataflow, Azure Stream Analytics, or Spark Structured Streaming.

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