Real-Time Data Engineer
Tasks
- Architect and deploy Kafka clusters
- Build CI CD pipelines with GitOps
- Configure and manage Schema Registry
- Design HA and DR strategies for Kafka
- Design partitioning replication and topic strategies
- Implement Kafka security with SASL and mTLS
- Implement observability dashboards and alerts
- Lead incident response and post-incident reviews
- Maintain technical documentation and runbooks
- Mentor engineers through code review and design review
- Onboard application teams to Kafka
- Operate Kafka Connect pipelines
- Operate Kafka platform end to end
- Optimize Kafka capacity and storage
- Run ksqlDB and Kafka Streams
Perks/Benefits
- N/A
Skills/Tech-stack
ACLs | AWS MSK | Ansible | Apache Kafka | Azure Event | Azure Event Hubs | Bash | CI/CD | Cluster Linking | Confluent Control Center | Confluent Operator | Confluent Platform | Control center | Data Governance | Datadog | Event Hubs | Flink | GitOps | Go | Grafana | Infrastructure as Code | KSQLDB | Kafka Connect | Kafka Streams | Kubernetes | MTLS | MirrorMaker 2 | Observability | Prometheus | Python | RBAC | SASL | Schema Registry | Spark Streaming | Strimzi | Terraform | “as-code”
Education
Roles
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