Kafka with python/java

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Last Word Consulting, is seeking the following. Apply via Dice today!Title: Kafka with Python/JavaLocation: Frisco/BellevuePay rate $ 55/hr. c2c Quick SummaryCore focus (~70%): Kafka + Programming + InfrastructureSupporting (~20%): Architecture + Data EngineeringAdjunct (~10%): Observability + AI/modern toolingWhat You’ll DoSupport real-time data processing pipelines with low-latency, high-throughput, and fault-tolerant distributed systemsAbility to independently handle the installation of Hadoop and Kafka clusters Troubleshoot networking and environment issues.Experience with the automation of installation and setup of Kafka clustersExpertise in UNIX, Shell scripting, AnsibleDevelop and maintain event-driven messaging frameworks using Apache Kafka or similar technologies to enable microservices to communicate data through eventsMust Have SkillsProficiency with messaging and event-driven systems such as KafkaExpert-level proficiency in Python and Java object-oriented programmingStrong experience with Python or Java object-oriented programmingHands-on experience with UNIX/Linux environments and expert-level Bash shell scripting for automation and pipeline orchestrationAutomate manual processes and operational workflows using Bash shell scripting in UNIX environmentsBuild responsive, accessible, and performant applications, delivering end-to-end features across API and data layersExperience building scalable REST APIs and microservicesKnowledge of TLS/SSL encryption and SASL authentication for securing Kafka clustersExperience with Git, GitLab, and CI/CD automationExperience working with relational databases and writing complex SQLExperience with containerization and orchestration tools such as Docker and KubernetesExperience using observability and telemetry tools such as Splunk, AppDynamics, or GrafanaHands-on experience with AI productivity tools (Claude and Cursor or similar IDE) and working knowledge of foundation models, prompt engineering, retrieval-augmented generation (RAG), and AI agent development.