Blog

• Kafka Cluster Management: Design, deploy, and manage Apache Kafka clusters, ensuring high availability, scalability, and fault tolerance.
• Data Streaming Architecture: Develop and maintain real-time data streaming solutions using Kafka, Kafka Streams, and related technologies.
• Performance Optimization: Monitor and optimize Kafka clusters for performance, including tuning brokers, topics, partitions, and configurations.
• Security and Compliance: Implement and manage Kafka security measures, including encryption, authentication, and authorization, to ensure data integrity and compliance with industry standards.
• Integration: Work closely with application developers, data engineers, and DevOps teams to integrate Kafka with other systems and services.
• Monitoring and Alerts: Use tools such as Prometheus, Grafana, and Kafka Manager to set up monitoring, logging, and alerting for Kafka clusters.
• Troubleshooting and Support: Diagnose and promptly resolve issues related to Kafka performance, connectivity, and data processing.
• Documentation: Create and maintain detailed documentation for Kafka configurations, processes, and best practices.
• Innovation and Improvement: Stay up-to-date with the latest developments in Kafka and related technologies, proposing improvements and new solutions as appropriate.
• Proven experience with distributed systems, data streaming, and event-driven architectures.
• Experience with Kafka Streams, KSQL, and other Kafka ecosystem tools.
• Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) is a plus.

Technical Skills:

• Strong proficiency in Apache Kafka, including broker setup, topic management, and partitioning strategies.
• Knowledge of data serialization formats such as Avro, Protobuf, and JSON.
• Experience with Linux/Unix systems and scripting (Bash, Python, etc.).
• Familiarity with DevOps practices and tools like Docker, Kubernetes, CI/CD pipelines, and Terraform.
• Experience with monitoring tools (Prometheus, Grafana) and logging tools (Elasticsearch, Logstash, Kibana).