Big data specialist állások, munkák Budapesten

• Provide technical support to dealers via phone, email, and ticketing tools
• Troubleshoot issues, track spare parts, and monitor exceptional shipments
• Ensure cases are resolved within SLA and clearly documented
• Escalate complex issues and collaborate with internal teams (warranty, logistics, finance)

• Provide technical support to dealers via phone, email, and ticketing tools
• Troubleshoot issues, track spare parts, and monitor exceptional shipments
• Ensure cases are resolved within SLA and clearly documented
• Escalate complex issues and collaborate with internal teams (warranty, logistics, finance)

• Provide technical support to dealers via phone, email, and ticketing tools
• Troubleshoot issues, track spare parts, and monitor exceptional shipments
• Ensure cases are resolved within SLA and clearly documented
• Escalate complex issues and collaborate with internal teams (warranty, logistics, finance)

• Provide technical support to dealers via phone, email, and ticketing tools
• Troubleshoot issues, track spare parts, and monitor exceptional shipments
• Ensure cases are resolved within SLA and clearly documented
• Escalate complex issues and collaborate with internal teams (warranty, logistics, finance)

Deliver complex data engineering projects individually or by leading small delivery teams Work with customers to solve data engineering, ML, ML Ops, and cloud migration challenges Set up new data architectures from scratch Guide customers through adopting the latest technologies Manage customer...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...