Python állások XVII. kerületben (it programozás, fejlesztés)

• Design IT platforms, processes, and organizational structures for evolving Lakehouse on Azure
• Develop sustainable architectures, prototype solutions, and evaluate new technologies to drive innovation

Development and enhancement of the MSCI Index Development Platform and the IndexMetrics Real-Time application using modern software engineering practices, Python, Azure, and AI-assisted development tools...

• Oracle adatbázisok telepítése, konfigurálása, üzemeltetése és monitorozása Linux alapú HA környezetben, RAC architektúrában.
• Adatbázisok teljesítményének mérése, hangolása és optimalizálása (SQL lekérdezések és adatbázis-műveletek optimalizálása, kapacitástervezés)

• Writing reusable, testable, and efficient code mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely
• Collaborative work to provide technical solutions and implement new software features

• Improvement of repetitive processes
• Organization, cleaning and analysis of data
• Automation of processes
• Experimentation with AI tools, chatbots and workflows
• Troubleshooting and operational task support
• Data verification and process compliance

• Working across the software stack including firmware, operating systems, device drivers, compilers, runtimes and middleware
• Contributing to existing projects while exploring and prototyping ideas for the future
• Gaining hands-on experience across the software development lifecycle

• Maintenance and enhancement of an automated market-making application
• Development and maintenance of C++ and python backend applications and services used in brokerage-related systems
• Investigation of issues in existing software, identification of root causes, and implementation of reliable fixes

• Collects and consolidates transfers of value (ToV) data from multiple source systems and business functions across supported markets, following defined collection processes
• Performs first-level data quality checks (completeness, accuracy, duplicates) ahead of country-level submission

• Implementation and improvement of business objects for mobile network infrastructure in backend systems up to the API layer
• Development and maintenance of business objects including data models, backend logic, and APIs

• Use formal verification algorithms to formally prove the correctness of complicated logic problems
• Identify key behaviors for verification to write clear testplans for complex designs
• Implement testplans using innovative formal techniques
• Drive tools to realize their best performance

• Nemzetközi csapat tagjaként hosszú távú tesztelési feladatok különböző projektekben
• Új automatizálási keretrendszer fejlesztése low-code tesztautomatizáláshoz
• A keretrendszer karbantartása, gondozása és folyamatos továbbfejlesztése
• Innováció és új technológiák aktív bevonása és alkalmazása

• Automatizált UI és end-to-end tesztek fejlesztése webalkalmazásokhoz
• Automatizált UI és end-to-end tesztek karbantartása webalkalmazásokhoz
• Automatizált UI és end-to-end tesztek stabilizálása webalkalmazásokhoz
• Webes tesztautomatizálási keretrendszerek használata és továbbfejlesztése

• Deliver reporting that matters – handle internal requests for reports, dashboards, and data extracts, change requests, and data exploration needs.
• Build with Power BI – design and maintain dashboards using data lake sources (SQL, Databricks).

Lead identification of high-impact use cases for ML/AI/GenAI, prioritizing those that drive business performance, uncover optimization opportunities, and fuel revenue and margin growth....

• Work the queue of open support tickets alongside a mentor
• Investigate and diagnose reported technical issues
• Search internal knowledge systems to find solutions before escalating
• Escalate complex cases to senior engineers with clear troubleshooting notes

• Design and development of innovative AI solutions
• Collaboration with global technologists, data scientists, and industry experts
• Development of scalable data pipelines
• Building software products and services from the ground up
• Assessment of data landscapes and ensuring data quality