Only EST candidates
12+ years Must
in Pittsburgh, PA – Onsite
Duration: Long-term
Job Description:
Partner with the vendor team to evaluate event-streaming solutions, focusing on Apache Kafka or equivalent technologies.
Lead discussions on requirements, system capabilities, and POC implementation strategies.
Design and Development:
Architect and implement the event-streaming POC, ensuring scalability, security, and reliability.
Develop a detailed reference architecture for enterprise-wide event-streaming use cases.
System Integration:
Integrate Kafka with existing systems, ensuring seamless data flow and real-time processing.
Design schemas and data pipelines using Kafka Connect, Kafka Streams, and other ecosystem tools.
Performance Optimization:
Monitor and optimize Kafka clusters for performance, reliability, and cost-effectiveness.
Troubleshoot and resolve any issues related to data flow and processing.
Documentation and Knowledge Sharing:
Document the POC process, reference architecture, and operational guidelines.
Train internal teams on event-driven best practices and Kafka usage.
Stakeholder Engagement:
Collaborate with cross-functional teams (development, QA, operations) to gather requirements and ensure alignment.
Present POC findings and recommendations to stakeholders.
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