Overview
Skills
Job Details
Essential Skills:
Deep understanding of Confluent Kafka: Thorough knowledge of Kafka concepts like producers, consumers, topics, partitions, brokers, and replication mechanisms.
Programming language proficiency: Primarily Java or Scala, with potential for Python depending on the project.
System design and architecture: Ability to design robust and scalable Kafka-based data pipelines, considering factors like data throughput, fault tolerance, and latency.
Data management skills: Understanding of data serialization formats like JSON, Avro, and Protobuf, and how to manage data schema evolution.
Kafka Streams API (optional): Knowledge of Kafka Streams for real-time data processing within the Kafka ecosystem.
Monitoring and troubleshooting: Familiarity with tools to monitor Kafka cluster health, identify performance bottlenecks, and troubleshoot issues.
Cloud integration : Experience deploying and managing Kafka on cloud platforms like AWS, Azure, or Google Cloud Platform.