Sql developer állások XII. kerületben (programozó, fejlesztő)

• 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

• Writing and maintaining clean, high-quality, and efficient code aligning with project specifications using AI tools daily to accelerate delivery
• Executing comprehensive testing and seamless deployment of programs and systems

• Develop and maintain scalable web applications using Angular or React
• Build and optimize RESTful APIs and microservices using Node.js, Python or .NET
• Define and manage cloud infrastructure using Infrastructure as Code, such as Terraform or OpenTofu

• Writing system tests
• Executing system tests
• Evaluating system tests
• Writing integration tests
• Executing integration tests
• Updating integration tests
• Taking part in E2E testing
• Cooperating with teams from partner systems
• Managing regression tests
• Reviewing tests
• Writing documentation
• Log analysis

Modern Java alapú, microservice architektúrára épülő üzleti alkalmazások tervezése, fejlesztése és folyamatos továbbfejlesztése magas minőségi elvárások mellett....

• Understanding underlying data structure of an ERP system (Microsoft Dynamics 365 Finance & Operations)
• Creating technical specification (design) documents for functional requirements
• Managing existing and creating new automations using Alteryx, Python, SSIS
• Creating reports and dashboards in Power BI

• Development and operation of data pipelines
• Building data layers in OneDataLake (ODL) Central Data Store Consumer (CDSC)
• Balancing business and IT demands to build modern and efficient pipelines in public cloud environments
• Integration of data preparations into managed processes

• Development, maintenance and enhancement of microservice-based applications using Java and Quarkus
• Operation and support of production environments running on Kubernetes including deployment automation, monitoring, troubleshooting and incident resolution

• Design, develop, and optimize scalable data pipelines for processing large-scale structured and unstructured data
• Ensure reliability, performance, and scalability of data systems
• Build solutions to handle real-time streaming data from multiple sources

• Design, build, and maintain robust CI/CD pipelines
• Manage and optimize cloud infrastructure on T Cloud Public, ensuring high availability and performance
• Administer and troubleshoot Linux and Windows systems in production environments

• Co-design and implement QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques
• Apply AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets

• Design and build artificial intelligence and machine learning solutions for enterprise clients
• Operationalize AI and machine learning solutions combining custom models with cloud and third-party AI services
• Assess client needs and data for AI/ML solutions

• AI-alapú rendszerek és alkalmazások architektúrájának tervezése és fejlesztése
• Microservice és event-driven architektúrák tervezése és technikai irányvonal meghatározása
• Architekturális döntések meghozatala, beleértve a megfelelő technológiai és tervezési megoldások kiválasztását

• Delivery, execution, and outcomes ownership across multiple engineering teams
• Leadership and development of engineering managers
• Building a high-performing engineering organization
• Partnership with product, architecture, data, security, and business stakeholders to shape strategy and define roadmaps

• L3 code-level support for MES application(s) and other critical regional applications
• Troubleshooting and resolving complex application issues including code, database, interface, and integration-related problems

• Design, develop, and maintain scalable data pipelines in cloud and hybrid environments
• Contribute to the architecture of enterprise data platforms with a system-oriented mindset
• Work with large-scale datasets using SQL, Spark, and cloud-native tools

Munkakörhöz tartozó feladatok ellátása....

• Új rendszerek fejlesztése Spring Boot alapokon;
• rendszerek integrációja REST, SOAP és RabbitMQ alapon;
• részvétel rendszertervezésben, adatbázistervezésben;
• meglévő rendszerek karbantartása, modernizálása;
• junior fejlesztők mentorálása, szakmai támogatása;

• a Hivatal alapfeladatainak ellátásához szükséges szoftverek tervezése;
• szoros együttműködés az IT Folyamatmenedzserekkel;
• vezető fejlesztők, fejlesztők szakmai támogatása, kódminőség koordinációja;
• szoftverekhez kapcsolódó hibakeresési és hibaelhárítási feladatok támogatása;