Real-Time Data Engineer
Tasks
- Architect Kafka platform
- Automate Kafka operations
- Configure Kafka cluster sizing and settings
- Deploy and operate Kafka clusters
- Enable developers with platform tooling
- Ensure high availability and disaster recovery
- Implement Kafka security
- Implement stream processing with Kafka Streams or ksqlDB
- Integrate Kafka Connect and Schema Registry
- Own Kafka platform end to end
- Provide observability and monitoring
- Support developer mentoring and code reviews
- Troubleshoot Kafka production issues
- Use infrastructure as code for Kafka environments
Perks/Benefits
- N/A
Skills/Tech-stack
ACLs | Ansible | Apache Kafka | Bash | Confluent Operator | Confluent Platform | Consumer groups | Disaster Recovery | Go | High Availability | ISRs | KSQLDB | Kafka Connect | Kafka Security | Kafka Streams | Kafka internals | Kubernetes | MTLS | Observability | Partitions | Python | RBAC | Replication | SASL | Schema Registry | Strimzi | Terraform
Education
Roles
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