Data science állások XVIII. kerületben főiskolai végzettséggel

Drive designing and building AWS infrastructure and landing zones Define AWS infrastructure using Terraform or OpenTofu with Terragrunt, or AWS CloudFormation, and build CI/CD pipelines Lead migrations of customer workloads from on-premises (on-prem), GCP, Azure, or Heroku to AWS Review and...

Join a client service team for 8-10 weeks Contribute to workstreams to help solve client challenges Uncover true challenges behind a client’s strategy Create actionable plans that drive real change Work alongside clients and McKinsey colleagues Combine research, data analysis, interviews, and...

Input cash-flow-related administrative data across various product lines (e.g., processing drawdowns and repayments of Private Equity funds, guarantee calls, and disbursement requests) Reconcile cash positions with intermediaries Maintain daily communication with fund managers and the client to...

• Adattárházi rendszerek tervezése banki domainben
• Üzleti igények felmérése, elemzése és strukturált specifikációk készítése
• Oracle-alapú data warehouse megoldások logikai és fizikai modelljeinek kialakítása
• ETL folyamatok, adattáblák és adatpiacok tervezése

• Create, update, and maintain master data records (customers, vendors, materials, pricing, etc.) in ERP systems.
• Ensure data accuracy, completeness, and compliance with company standards and policies.
• Perform regular data audits and cleansing to maintain integrity and consistency.

Programming in languages relevant to AI (e.g., Python, Java) Using modern AI/ML frameworks and platforms (e.g., TensorFlow, PyTorch, Oracle Cloud AI services) Enterprise software development including REST APIs, microservices, and cloud-native architectures Translating business needs into scalable...