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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Related Positions

Data EngineeringHybrid

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

Kafka Data Streaming Engineer

Responsibilities

Requirements

Nice to Have

Skills

Apply for this position

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Kafka Data Streaming Engineer

Responsibilities

Requirements

Nice to Have

Skills

Apply for this position

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