Real-Time Data Engineer
Tasks
- Architect Kafka platform
- Automate Kafka operations
- Conduct code reviews
- Configure Kafka security
- Deploy Kafka clusters
- Enable developers with Kafka
- Implement HA DR for Kafka
- Implement observability for Kafka
- Manage Kafka cluster sizing
- Mentor junior engineers
- Operate Kafka in production
- Perform design reviews
- Translate requirements into solutions
- Troubleshoot streaming workloads
Perks/Benefits
Skills/Tech-stack
ACLs | AWS MSK | Ansible | Apache Flink | Apache Kafka | Azure Event | Azure Event Hubs | Azure Event Hubs Kafka | Azure Event Hubs Kafka API | Bash | Confluent Operator | Confluent Platform | Consumer groups | Data Governance | Data Lineage | Go | HA/DR | Infrastructure as Code | KSQLDB | Kafka API | Kafka Connect | Kafka Security | Kafka Streams | Kafka internals | Kubernetes | MTLS | Observability | Partitions | Python | RBAC | Replication | SASL | Schema Registry | Spark Streaming | Strimzi | Terraform | “as-code”
Education
Roles
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