Data DevOps Engineer

Job description

**Key Skills:** Rbac, Data Security, AVR, Data architecture, Kafka, Shell Scripting, Python, Splunk, Dynatrace, Grafana **Roles and Responsibilities:** - Provide hands-on support for Apache Kafka and Confluent Platform environments, including operational readiness for developer teams. - Administer and tune Kafka clusters: configuration, monitoring, performance tuning, and high availability. - Implement and manage Schema Registry and data serialization using Avro (and related serialization patterns). - Support Kafka Connect and connector operations, including troubleshooting end-to-end data flow issues. - Manage Kafka security and access control using RBAC/ACLs and security mechanisms (e.g., SSL/SASL), and troubleshoot security-related incidents. **Skills Required:** - 7-12 years of relevant experience in Kafka/Confluent platform operations and data streaming platform support. - Apache Kafka and Confluent Platform (7+ years) with strong hands-on operational support. - Confluent Cloud experience, including migration planning and execution from on-prem Kafka. - Kafka architecture and internals (topics, partitions, brokers, replication, consumer groups) with practical troubleshooting. - Schema Registry with Avro, Kafka Connect, and Kafka security/access control; ability to perform version upgrades and patching with minimal downtime. Good to Have: - Monitoring and observability tools such as Dynatrace, Splunk, and Grafana. - Scripting and automation using Shell scripting and Python. **Education:** Bachelor's Degree in Computer Science or related field.