Python fejlesztő állás, munka

• ETL Pipeline Development: Develop, optimize, and maintain ETL pipelines to efficiently extract, transform, and load data from various sources, ensuring high data quality.
• Monitor and troubleshoot production data pipelines, ensuring their performance and reliability.

• Clarification of the functional/technical requirements as part of refinement processes, planning sessions and project meetings in the agile project setup
• Consideration of performance, usability and user behavior requirements when processing

• Triaging new requirements, assessing their impact, and providing estimates for modifying data models accordingly.
• You will also be responsible for developing and enhancing business physical data models to meet evolving needs while driving alignment as necessary.

Cooperate with software teams and testers to establish easy to maintain automated test pipelines. Help develop the development cycle and environment by providing automation and CI friendly design patterns. Drive improvement at every step of the process in a CI/CD environment, from the code...

Cooperate with software teams to establish and implement quality processes at every stage of the development cycle. Develop automated test cases for firmware and Linux-based systems (bootloaders, kernel, device drivers and applications). Drive improvement at every step of the process in a CI/CD...

Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power services across our platform. Build automated AI testing and evaluation frameworks. Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities. Shape and...

Cooperate with software teams to establish and implement quality processes at every stage of the development cycle. Develop automated test cases for firmware and Linux-based systems (bootloaders, kernel, device drivers and applications). Drive improvement at every step of the process in a CI/CD...

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,...

Üzletileg kritikus AWS infrastruktúra üzemeltetése és továbbfejlesztése Kapcsolódó alkalmazásfejlesztés támogatása változatos tool stack felhasználásával Szakértő csapat vezetése AWS architect és szakmai mentor szerep Megoldások megtervezése üzleti igényekre Csapat felügyelete a megoldásban...

Design and develop cloud-native application services on Kubernetes using Java, Python, and Spring Boot Integrate application components with OCI services, including GenAI Service, Object Storage, and API Gateway Implement AI-powered capabilities using LLMs, prompt engineering, and agentic...