2024. 04. 25. | Teljes munkaidõ | Pécs | Deutsche Telekom IT Solutions HUJob DescriptionYou will be part of an innovative and agile work environment, where you will implement future-oriented network solutions with your DevOps skills to manage one of Telekom Deutschland's most focused projects!Our group called VNI is responsible for the integration, validation
Nézze később2024. 04. 25. | Teljes munkaidõ | Pécs | Text SAValue to customers iteratively. We operate within a very team-member-friendly implementation of Scrum. You’re gonna help the Product Manager in the Product Discovery process and validation of business objectives. You will design user flows, experiments, monetization ideas, and ways to retain customers
Nézze később2024. 04. 19. | Teljes munkaidõ | Pécs | CallPageResponsibilities Product knowledge Deeply understand the technology and features of the group(s) you are assigned and proactively learn from others. Research Independently conduct solution validation with minimal guidance from your Product Design Manager and incorporate insights into design decisions to fulfill
Nézze később2024. 04. 15. | Teljes munkaidõ | Pécs | ZF GroupTransform, and load (ETL) data from source systems to target SAP platforms Conduct data reconciliation and validation to ensure data accuracy and integrity Collaborate with technical and functional teams to resolve data-related issues and discrepancies Provide post-migration support and troubleshooting
Nézze később2024. 04. 12. | Teljes munkaidõ | Pécs | HCLTechAnalyses, insights and development hereof. Manage test processes mapped to SAP S/4 program test plan and manage stakeholders in the ERP program on test and validation activities To perform ad hoc data analyses as need be Visualize and present analytical conclusions to stakeholders What is needed to succeed
Nézze később2024. 01. 30. | Teljes munkaidõ | Pécs | DevsData LLCInto data-driven solutions Requirements 3+ years of professional experience building data science-driven solutions Experience with data processing, feature engineering/selection, model training/tuning, and post-deployment validation. Strong knowledge of data analytics and machine learning, with familiarity
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