- Kafka Management: Configure, manage, and tune enterprise Kafka clusters, topics, consumer groups, offsets, and replication parameters for high availability and fault tolerance
- Stream Processing: Develop real
- time data processing applications using tools like Kafka Streams, ksqlDB, or Apache Flink
- System Integration: Integrate Kafka with disparate enterprise data stores and streaming connectors (e.g., JDBC, Elasticsearch, S3, NoSQL databases)
- CI/CD Automation: Build and maintain automated CI/CD and GitOps deployment pipelines utilizing tools like Jenkins, ArgoCD, Docker, and Kubernete
- Monitoring Performance: Implement robust observability frameworks (Prometheus, Grafana, ELK stack, or DataDog) to monitor cluster health, trace bottlenecks, and perform capacity benchmarking.

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📌 Pyspark Developer (Chennai)
🏢 PSRTEK
📍 Chennai