Please go through below JD and share suitable profiles.
Title: Data Engineer
Location: Dallas, TX (Locals only)
Duration: 1 Month
Responsibilities:
10+ years in Data Engineering as distributed systems and messaging architecture using Confluent Kafka.• Architect high-availability Kafka solutions for real-time Data processing using Confluent Kafka.• Hands-on experience with Kafka Connect, KSQL, Kafka Streams, and Kafka Schema Registry components, understanding their underlying functionality and implementation.• Expert in Kafka internals, architecture, and performance optimization.• Strong understanding of delivery semantics, fault tolerance, and scalability.• Experience integrating Kafka with enterprise systems (DBs, APIs, microservices).• Define topic structures, data contracts, retention strategies, and throughput scaling.• Establish security policies (RBAC, encryption, ACLs) and governance.• Collaborate with platform, DevOps, and application teams for seamless integration.• Good to have Kafka, Kubernetes, Docker, or any cloud certification.
10+ years in Data Engineering as distributed systems and messaging architecture using Confluent Kafka.• Architect high-availability Kafka solutions for real-time Data processing using Confluent Kafka.• Hands-on experience with Kafka Connect, KSQL, Kafka Streams, and Kafka Schema Registry components, understanding their underlying functionality and implementation.• Expert in Kafka internals, architecture, and performance optimization.• Strong understanding of delivery semantics, fault tolerance, and scalability.• Experience integrating Kafka with enterprise systems (DBs, APIs, microservices).• Define topic structures, data contracts, retention strategies, and throughput scaling.• Establish security policies (RBAC, encryption, ACLs) and governance.• Collaborate with platform, DevOps, and application teams for seamless integration.• Good to have Kafka, Kubernetes, Docker, or any cloud certification.
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