Senior Kafka Developer
@ Neshent TechnologiesNeshent Technologiesneshenttechnologies.com
Senior Kafka Developer
Mount Holly, North Carolina
Posted 1 day ago
About the job
Join our team as a Senior Kafka Developer, focusing on designing and maintaining real-time data streaming applications, building reliable data pipelines, and optimizing Kafka cluster performance in a dynamic environment.
Requirements
- 10+ years in software development
- Hands-on Kafka development
- Experience with data pipelines
- Knowledge of Kafka components
Qualifications
- Proven troubleshooting skills
- Experience with streaming architectures
Full job description
Required Technical/Functional Skills
- Minimum 10 years of experience in software development and data engineering.
- Strong hands-on experience with Apache Kafka development and implementation.
- Expertise in designing and developing real-time data streaming applications and event-driven architectures.
- Experience building scalable, reliable, and fault-tolerant data pipelines.
- Strong understanding of Kafka components including:
- Kafka Brokers
- Topics and Partitions
- Producers and Consumers
- Kafka Streams
- Kafka Connect
- Schema Registry
- Experience with real-time stream processing using Kafka Streams and/or KSQL.
- Knowledge of Hadoop ecosystem technologies preferred.
- Strong troubleshooting and performance optimization skills.
Primary Responsibilities
- Design, develop, and maintain real-time streaming applications using Apache Kafka.
- Build and optimize high-throughput, fault-tolerant data pipelines.
- Develop and maintain Kafka producer and consumer applications.
- Configure, manage, and monitor Kafka clusters, brokers, topics, and partitions.
- Implement integrations using Kafka Connect with external systems and data sources.
- Develop stream processing solutions using Kafka Streams and KSQL.
- Manage data serialization formats and resolve serialization-related issues.
- Analyze performance bottlenecks and optimize Kafka cluster performance.
- Troubleshoot message delivery, connectivity, and data processing issues.
- Collaborate with engineering teams to design scalable event-driven solutions.
Preferred Qualifications
- Experience with large-scale distributed systems and cloud-based data platforms.
- Strong understanding of data engineering and streaming architecture patterns.
- Experience working with Hadoop and big data processing environments.
- Excellent analytical, troubleshooting, and communication skills.
Show full description
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