2024. 05. 17. | Teljes munkaidõ | Debrecen | SwyplyLike streams and lambdas Extensive experience with Spring Bootincluding Spring Security, Spring Data, and Spring Cloud for building robust
Nézze később2024. 05. 07. | Teljes munkaidõ | Budapest | LPP Hungary Kereskedelmi és Szolgáltató Kft.Their passion motivates us to still have the energy and courage to reach for more., Finding new lease opportunities according to company taining and building relationships with landlords, construction companies, et & location analysis, competition gement of the entire
Nézze később2024. 05. 22. | Teljes munkaidõ | professionPerform accounting processes in scope for the respective country and/or region like month end, reconciliations, fixed assets accounting etc. - Regular engagement with country teams and shared services on inputs and outputs for the completion of common processes - Focus on building deep business
Nézze később2024. 04. 26. | Teljes munkaidõ | Pécs | FUN CRAFTERS SP. Z O O.NoSQL databases, and caching technologies (e.g., Redis). Practical experience in using Docker and Kubernetes. Strong background in building and managing large-scale infrastructure. Excellent communication and interpersonal skills, with the ability to effectively interact with both technical and non
Nézze később2024. 04. 26. | Teljes munkaidõ | Pécs | Lite e-CommerceDesigning and building a platform for ETL/ELT; designing of ELT/ETL processes both batch and streaming; collaborating with data engineering/analytics team; gather business requirements, mapping to sources and architecture; supporting team members with your knowledge, skills and expertise; creating technical
Nézze később2024. 04. 24. | Teljes munkaidõ | Miskolc | SwyplyLike streams and lambdas Extensive experience with Spring Bootincluding Spring Security, Spring Data, and Spring Cloud for building robust
Nézze később2023. 10. 09. | Teljes munkaidõ | Budapest | Lite e-CommerceDesigning and building a platform for ETL/ELT; designing of ELT/ETL processes both batch and streaming; collaborating with data engineering/analytics team; gather business requirements, mapping to sources and architecture; supporting team members with your knowledge, skills and expertise; creating technical
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