Position: Data Platform Engineer
Location: Tampa FL*From Day 1 Onsite
| | (SME) Data Platform Engineer - Kafka / Streaming / Analytics | Kafka SQL Linux Kubernetes Distributed Systems | What experience do you have with Kafka Can you explain your experience with SQL-based analytical workloads How do you troubleshoot platform performance issues Have you worked with real-time analytics platforms like Druid before What is your experience with streaming and analytics technologies beyond Kafka | | (SME) Data Platform Engineer - Kafka / Streaming / Analytics Strong practical knowledge of Kafka SQL Linux and Kubernetes Run and maintain streaming and analytics infrastructure in production environments Monitor troubleshoot and optimize platform performance and reliability Work with SQL-based analytical workloads to support real-time and batch analytics use cases Apply strong distributed systems fundamentals to streaming and analytics platforms Hands-on experience with Kafka-like systems and real-time data processing technologies Experience with distributed systems such as Kafka Spark Flink Pulsar ClickHouse or similar technologies |
Position: Data Platform Engineer Location: Tampa FL*From Day 1 Onsite (SME) Data Platform Engineer - Kafka / Streaming / Analytics Kafka SQL Linux Kubernetes Distributed Systems What experience do you have with Kafka Can you explain your experience with ...
Position: Data Platform Engineer
Location: Tampa FL*From Day 1 Onsite
| | (SME) Data Platform Engineer - Kafka / Streaming / Analytics | Kafka SQL Linux Kubernetes Distributed Systems | What experience do you have with Kafka Can you explain your experience with SQL-based analytical workloads How do you troubleshoot platform performance issues Have you worked with real-time analytics platforms like Druid before What is your experience with streaming and analytics technologies beyond Kafka | | (SME) Data Platform Engineer - Kafka / Streaming / Analytics Strong practical knowledge of Kafka SQL Linux and Kubernetes Run and maintain streaming and analytics infrastructure in production environments Monitor troubleshoot and optimize platform performance and reliability Work with SQL-based analytical workloads to support real-time and batch analytics use cases Apply strong distributed systems fundamentals to streaming and analytics platforms Hands-on experience with Kafka-like systems and real-time data processing technologies Experience with distributed systems such as Kafka Spark Flink Pulsar ClickHouse or similar technologies |
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