2025. 07. 17. | Teljes munkaidõ | Debrecen | Deutsche Telekom IT Solutions HUJob Description Department This position is filled in the IoT Technology team of Deutsche Telekom IT Solutions Hungary. The team consists of IT professionals working on big data, data analytics, data sharing and IoT solution implementation projects. Project Energy Cloud is a comprehensive
Nézze később2025. 07. 17. | Teljes munkaidõ | Budapest | Epamdata scientists and creatives. Besides working with an energetic lead generation team, you will have meetings regularly with experienced sales managers and marketing experts all
Nézze később2025. 07. 17. | Teljes munkaidõ | Budapest | OnHiresRemote Globally Distributed Team Data Platform - DevTools Product Full-time Long-term Stock Options Included Why This Role Stands Out Join a product-driven startup backed by the investors in Zoom, LinkedIn, Uber, and Twitter - a rare opportunity to shape a technically ambitious platform from
Nézze később2025. 07. 17. | Teljes munkaidõ | Budapest | PwCIn data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating
Nézze később2025. 07. 17. | Teljes munkaidõ | Debrecen | Deutsche Telekom IT Solutions HUManages Oracle, Postgres, Crunchy Cluster, and MySQL databases. In the FMO, Cassandra and MS-SQL will be added to the supported database portfolio. Qualifications Background and required skills Bachelor or Master’s degree in the following areas Computer science, Engineering or Information Technology
Nézze később2025. 07. 17. | Teljes munkaidõ | Budapest | Lufthansa SystemsWith Azure Data Lake Storage, Event Hubs, Data Factory, and other Azure services (with GCP alternatives as secondary Databricks on GCP, BigQuery, Dataflow, Pub/Sub, Cloud Composer) Design and build comprehensive data engineering pipelines (batch & streaming) using Databricks, Spark, Airflow/Azure Data
Nézze később2025. 07. 17. | Teljes munkaidõ | CisionAnd relational database principles Hands-on experience with Kafka or similar event-driven messaging technologies Familiarity with modern DevOps tools Git, GitHub Actions, Jenkins, Docker, and Kubernetes What you’ll do Design and Implement Features Build and maintain APIs and features that power
Nézze később2025. 07. 17. | Teljes munkaidõ | Budapest | Wolters KluwerAnd data networks. Preferred Skills Experience with Genesys Cloud and MS Teams calling technology. Knowledge of Audiocodes and SIP trunk routing. Working knowledge of T-SQL
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