Python fejlesztő állás, munka

• AI-alapú termékeink és backend rendszereink fejlesztése, karbantartása
• API-k (FastAPI, Django REST) tervezése és implementálása
• Adatbázis-struktúrák és architektúrák kialakítása (PostgreSQL, ORM-ek)
• Adatbázis-tervezés és optimalizálás (SQL / NoSQL)

Design, write and execute comprehensive test plans, test cases and test scripts to validate ETL/data‑pipeline processes, data transformations, and data integrity (source‑to‑target, cross‑reference, reconciliation). Validate data extraction, transformation and loading processes for accuracy,...

Design and deploy advanced scoring engines for Leads and Opportunities, including dynamic prioritization models and robust qualification frameworks. Lead the development of Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) to quantify marketing ROI and guide budget allocation. Develop...

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,...

• Support the team in designing and developing an internal dashboard to visualize real-world data from diabetes care
• Explore, define, and implement selected dashboard use cases; actively contribute to deciding which use cases provide the most value

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,...

Design, code, review and test assigned features and user stories, in accordance with the agile methodology employed by Diligent Collaborate with the product owner and engineering manager in the analysis and documentation of technical requirements and user stories for assigned features Assist with...

• Design and build applications using Workshop, Ontology, Functions, Automate, and React Apps
• Translate business requirements into robust, scalable real-time logic
• Work across the entire application layer: frontends, APIs, backend components