Job Description
The role focuses on designing and delivering integration solutions using Kafka and Elastic as core data architecture platforms, while extending integrations to additional technologies such as Databricks. The candidate will integrate diverse data sources into Confluent (Kafka), Elastic, and Databricks environments, and develop Kafka based system integrations—including custom connectors and data processing solutions using ksqlDB and Kafka Streams. Responsibilities include building and maintaining integrations between Elasticsearch/Logstash and other enterprise systems, as well as deploying and managing Kafka clusters on Kubernetes across multi site, on premise, and cloud environments. The position also requires automating the full software lifecycle—from design and development through testing and production deployment—and creating robust DevOps pipelines. This includes containerized application delivery using Kubernetes and Docker, along with automated testing and cont...