Key Facts

Remote From:

Full time

Mid-level (2-5 years)

Spanish

2-3 years of hands-on experience with Apache Kafka
Experience deploying and administering Kafka clusters on-premises or in cloud environments (Confluent Cloud, MSK)
Strong knowledge of topic configuration, partitioning, and retention policies
Experience developing streaming applications using Java/Spring Boot or Python, and working with Kafka Streams or ksqlDB for real-time processing

Architect and deploy Kafka clusters on-premises or in the cloud, including configuring topics, partitions, and retention policies
Develop producers and consumers in Java/Spring Boot or Python; implement real-time streaming processing with Kafka Streams or ksqlDB (transformations, aggregations, joins)
Integrate Kafka with external systems using Kafka Connect (JDBC, S3, Elasticsearch); manage schemas with Avro and Schema Registry
Ensure reliability and observability (exactly-once semantics, offset management); monitor with Prometheus/Grafana or Datadog and troubleshoot issues such as rebalances and latency

Job description

Experto en Kafka con 2-3 años de experiencia:

Experiencia Clave:

Arquitectura y Despliegue: Implementación y administración de clústers de Kafka on-premise o en la nube (Confluent Cloud, MSK). Configuración de tópicos, particionado, y políticas de retención.
Streaming de Datos: Desarrollo de productores y consumidores en Java/Spring Boot o Python. Experiencia sólida con Kafka Streams o ksqlDB para procesamiento de flujos en tiempo real (transformaciones, agregaciones, joins).
Integraciones: Conexión de Kafka con sistemas externos mediante Kafka Connect (JDBC, S3, Elasticsearch). Manejo de schemas con Avro y Schema Registry.
Operaciones y Confiabilidad: Garantía de exactamente una vez (exactly-once semantics), gestión de offsets, monitorización con herramientas como Prometheus/Grafana o Datadog, y resolución de problemas comunes (rebalanceos, latencia).