Capgemini
Devops
Job Description
- Migration exp from Apache Kafka to Confluent Kafka
- Devops, Kubernetes
- Design, deploy, and maintain Kafka clusters across multiple environments (development, testing, production).
- Configure Kafka brokers, topics, partitions, and ACLs (Access Control Lists) as per security requirements.
- Monitor Kafka infrastructure performance and ensure high availability and low-latency data transmission.
- Collaborate with DevOps and development teams to optimize Kafka configurations for performance and scalability.
- Troubleshoot and resolve issues related to Kafka cluster connectivity, broker performance, and data replication.
- Implement Kafka producers and consumers, ensuring data pipelines are robust and efficient.
- Develop automation scripts (e.g., using Ansible, Shell scripting) for Kafka cluster provisioning and maintenance tasks.
- Provide guidance and mentorship to junior members of the Kafka administration team.
- Stay updated with Kafka community developments and best practices, recommending upgrades and improvements
Skills and Qualifications:
- Extensive experience with Apache Kafka and its ecosystem (Kafka Connect, Kafka Streams, Schema Registry).
- Proficiency in Linux/Unix system administration and networking fundamentals.
- Strong understanding of distributed computing principles and real-time data processing concepts.
- Experience with cloud platforms (GCP) and container orchestration (Kubernetes) is a plus.
- Excellent problem-solving and analytical skills, with a proactive approach to identifying and resolving issues.
- Effective communication skills, capable of articulating technical concepts to non-technical stakeholders.
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