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Back to all positions
Data EngineeringFull-timeOn-site

Kafka Data Streaming Engineer

Build and maintain real-time event streaming platforms using Apache Kafka and related ecosystem tools at APPIT Software in Bangalore.

Bangalore, India
Full-time
Data Engineering

Responsibilities

  • Design and implement real-time data streaming pipelines using Apache Kafka and Kafka Connect
  • Develop Kafka Streams or ksqlDB applications for real-time event processing and enrichment
  • Manage and scale multi-cluster Kafka deployments for high availability and throughput
  • Build schema registries and enforce data contracts using Avro, Protobuf, or JSON Schema
  • Monitor cluster health, consumer lag, and throughput metrics using Prometheus and Grafana
  • Collaborate with application teams to define event-driven architecture patterns and standards

Requirements

  • 3-6 years of experience working with Apache Kafka or similar distributed messaging systems
  • Proficiency in Java or Python for building Kafka producers, consumers, and stream processors
  • Understanding of distributed systems concepts including partitioning, replication, and consensus
  • Experience with Kafka Connect connectors for database CDC, S3, and Elasticsearch sinks
  • Familiarity with containerized deployments of Kafka using Docker and Kubernetes
  • Strong troubleshooting skills for diagnosing consumer lag, rebalancing, and data loss issues

Nice to Have

  • Experience with Confluent Platform or managed Kafka services (MSK, Confluent Cloud)
  • Knowledge of Apache Flink for complex event processing

Skills

Apache KafkaJavaPythonKafka StreamsDockerKubernetesPrometheus

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