Sql developer állások XIII. kerületben (programozó, fejlesztő)

• 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;

• Writing and maintaining clean, high-quality, efficient and well tested code aligning with project specifications
• Architecting and implementing key abstractions bridging the gap between Software Engineering and DevOps
• Proactively identifying pain points in the platform and proposing elegant solutions

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Architect and deliver AI/agentic product features including LLM integrations, multi-step agentic workflows, tool-use patterns, RAG pipelines, and intelligent automation

• Development of the Tulip OS
• Maintenance and support of bootloader, kernel, and userspace development for Tulip hardware
• Working alongside product management and customers to identify key features and product performance
• Contributing to strategic planning

• Development and customization of Microsoft Dynamics 365 applications using C#/.NET and Power Platform tools
• Building integrations between Dynamics 365 and Azure services such as Logic Apps and Functions

• Participation in an end-to-end agile team with developers, QA engineers and UX specialists
• Involvement in all aspects of software development from architecture and design to coding, unit and end-to-end testing and data model management
• Designing and implementing new features

• 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

• Development and continuous enhancement of the system
• Design and implementation of new features within MS Dynamics 365
• Development and maintenance of integrations
• Support and optimization of CI/CD processes
• Close collaboration with development and business teams

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• 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

Design, develop, test, document, and deploy high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

• Design of high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns
• Development of high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns

• Building a scalable and reusable platform for efficient operational processes
• Working closely with cross-functional teams to ensure smooth operation of tooling platform
• Contributing to the overall success of the organisation

• Ügyfélélmény- és adatvezérelt projektek megvalósítása
• Ügyfélfolyamatok mély megértése és hatékony támogatása modern CRM és Customer Data Platform megoldásokkal
• Részvétel komplex, adatvezérelt Customer Experience projektekben
• Tanácsadói és fejlesztői feladatok kombinációja

• Delivery of complex data engineering projects across industries
• Leading small delivery teams
• Management of customer relationships alone or with a Project Manager
• Mentoring more junior engineers
• Evaluating the quality of junior engineers' work
• Contributing to hiring best-in-class data engineers

• Implementing and improving business objects for mobile network infrastructure in backend systems up to the API layer
• Developing and maintaining business objects including data models, backend logic, and APIs
• Collaborating with internal stakeholders considering requirements related to external partners

• 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

• 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

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• Implementation and support of VB.NET based software solution
• Participation in the run and maintain team