Job Summary

We are looking for an experienced Kafka Data Engineer with solid hands-on expertise in Apache Kafka, Kafka Administration, Topic Migration, Cluster Migration, Data Streaming, and Distributed Systems. The candidate will be responsible for planning and executing Kafka migrations, cross-cluster replication, data validation, performance tuning, and ensuring minimal downtime.

Responsibilities

- The role requires hands-on experience with Kafka Topic Migration and cluster-to-cluster replication using MirrorMaker 2.0, Confluent Replicator, or Cluster Linking.
- Strong knowledge of Kafka Connect, Kafka Streams, Schema Registry, and Confluent Platform is mandatory.
- The candidate should understand Kafka brokers, partitions, replication, consumer groups, offsets, ACLs, consumer lag, throughput, and latency.




- Experience with Linux/Unix and proficiency in Python, Java, or Scala is required.
- Candidates should have a strong understanding of distributed systems, event-driven architecture, and messaging systems.
- Exposure to cloud platforms such as AWS MSK, Azure Event Hubs/Kafka, or GCP Pub/Sub is preferred.
- Knowledge of Terraform, CI/CD, Docker, Kubernetes, Databricks, Spark Streaming, or Flink will be an added advantage.

Skills & Competencies

- Apache Kafka
- MirrorMaker 2.0
- Confluent Replicator
- Cluster Linking
- Kafka Connect
- Kafka Streams
- Schema Registry
- Confluent Platform
- AWS MSK

📌 Kafka Data Engineer (Pune)
🏢 Zorba consulting
📍 Pune