Pop hands cnc javascript jquery állások IX. kerületben (programozó, fejlesztő)

•Development and testing of the modern engineering and web-based software •Active work in an agile scrum team ...

•Development and testing of the modern engineering software •Active work in an agile scrum team...

• Technical leadership of manufacturing execution solutions on Siemens Opcenter Execution Process Enterprise (MES)
• Ownership of middleware architecture and integration layer using Opcenter Connect MOM
• Definition and governance of technical standards, coding guidelines, and architecture decision records

• Build, operate, and improve production data pipelines using Python, Airflow, Kubernetes, and related technologies
• Design scalable data pipelines and data models for growing data volumes and processing needs

• Geographic information systems, spatial analysis, and map server infrastructure
• Maintain a performance oriented GeoServer and database
• Create new features based on specification
• Actively take part in the system design
• Optimize data flows, build automated data piplines

• Geographic information systems, spatial analysis, and map server infrastructure
• Maintain a performance oriented GeoServer and database
• Create new features based on specification
• Actively take part in the system design
• Optimize data flows, build automated data piplines

• Configuration of the P&P platform end to end, across both frontend and backend
• Tuning and optimization of forecast and attribution models to match client data and business logic
• Writing custom business logic in SQL, Python, or Go where standard configuration isn’t enough

• Design, develop, and maintain backend services and RESTful / GraphQL APIs using Node.js
• Build scalable and high-performance applications following best coding practices
• Integrate data storage solutions such as MongoDB, PostgreSQL, MySQL, or similar databases

• Tackling complex technical challenges focused on scalability, reliability, and speed
• Maintaining a high-performance infrastructure that processes millions of events with low latency
• Collaborating with Data Scientists and Engineers to design and implement cutting-edge feature topologies

• Producing high quality code for the full technological stack from database to UI
• Assisting with troubleshooting basic issues and improving application performance
• Documenting and demonstrating solutions with a focus on security and performance

• Technical management of a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients
• Development of highly scalable services realizing AI/ML functionalities

• Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform
• Building robust, scalable pipelines using Azure Databricks (PySpark / SQL)
• Design and enforcement of data architecture standards including Delta Lake / Lakehouse architecture and data modeling

• Lead the design and development of Power BI reporting and analytics solutions for enterprise clients,
• Facilitate workshops and meetings with business stakeholders to understand reporting and analytical requirements,
• Translate business needs into functional and technical specifications,

• Learning existing system architecture, codebase, tools, and development practices
• Validating existing technical documentation and flagging any gaps or outdated content
• Highlighting blockers to knowledge transfer
• Maintaining coding standards, version control practices, and agile routines

• Tervezés, önálló fejlesztői munkavégzés, tesztek írása és implementáció
• Meglévő rendszereink karbantartása, javítási javaslatok
• Hibakeresés, hibajavítás, optimalizálás
• Automatizált build folyamatok karbantartása és továbbfejlesztése (CI/CD)

EZEK LESZNEK A FELADATAID • MES fejlesztő kolléga munkájának támogatása • MES funkciók fejlesztésében való segítségnyújtás • Gyártósori adatok elemzésében való részvétel ...

• Real-time risk assessments using machine learning
• Ownership of risk infrastructure for Instant ACH in the US market
• Collaboration with software engineers, data analysts, and data scientists to design rules and refine ML models
• Support for chargeback and fraud investigation teams

• Writing production-quality, well-tested scraper code in Python
• Learning the architecture of the collection platform including scrapers, proxy layer, queues and enrichment API
• Debugging issues across multiple components using logging, monitoring and alerting tools

• Writing reusable, testable, and efficient code mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integration of data storage solutions
• Handling security and data protection professionally and precisely

• Writing reusable, testable, and efficient code mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integration of data storage solutions
• Handling security and data protection professionally and precisely