2025. 11. 13. | Teljes munkaidõ | Budapest | ClouderaCapabilities to the control plane and workload clusters deployed to the three public cloud platforms - AWS, Azure and GCP. The workload clusters are clusters with big data workloads like Hive, Spark, Impala, Kudu, Kafka, and NiFi with security and governance controls of Ranger and Atlas applied
Nézze később2025. 11. 13. | Teljes munkaidõ | Budapest | DiligentHelp to expand our design system and guide product teams as they use it to create experiences that enable transparency and connectivity across organizations - sparking insights the most influential organizations need to make better decisions. What you’ll be contributing - From discovery to delivery
Nézze később2025. 11. 13. | Teljes munkaidõ | Budapest | Varian Medical Systems Hungary Kft.Community of scientists, clinicians, developers, researchers, professionals, and skilled specialists pushing the boundaries of what’s possible, to improve people’s lives around the world. We embrace a culture of inclusivity in which the power and potential of every individual can be unleashed. We spark
Nézze később2025. 11. 13. | Teljes munkaidõ | Budapest | ClouderaFrequently used together with Apache Flink, Spark and NiFi to ingest, process and analyze large scale message streams. As a Software Engineer, you will collaborate with engineers and stakeholders across Hungary, the United States, and other global locations. As a Senior Staff Software Engineer you
Nézze később2025. 11. 13. | Teljes munkaidõ | Budapest | ClouderaSource community, Cloudera advances digital transformation for the world’s largest enterprises. Cloudera is looking for a Staff Software Engineer, Spark (Java) with strong distributed systems expertise to work on the Cloudera distribution of Apache Spark and Livy. We are looking for senior engineers
Nézze később2026. 03. 04. | Teljes munkaidõ | Budapest | haysApplication of reliability‑based methodologies (RCM, predictive maintenance) - failure analysis, root‑cause investigations, and development of improvement measures - support for lifecycle decisions (refurbishment, replacement, modernization) - optimization of maintenance costs, risks, and spare‑parts
Nézze később2025. 11. 14. | Teljes munkaidõ | Budapest | haysA minimum of 5 years of experience as a Data Engineer; - cloud engineering experience, especially Google Cloud Platform (GCP) or Azure; - in-depth knowledge of Cloud platforms like GCP (must have) and Azure (good to have). - knowledge about the Hadoop ecosystem. - building applications with Apache Spark
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