Sql developer állások XXIII. kerületben középiskolai végzettséggel

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...

• Setup, operation, maintenance, and reliability of databases used for IT service operations and ITSM processes
• Designs, installs, configures, and maintains databases required for IT service operations and ITSM tooling

• 2nd level technikai támogatás
• Hibajegy megoldás és adminisztráció ITIL alapján
• Részvétel napi és heti ügyfélmegbeszéléseken
• Event menedzsment
• Riporting
• Monitorozás
• Változáskezelés támogatása új verziók telepítése
• Migrálás támogatása
• Tranzíciókban való részvétel
• Dokumentációk kezelése

• Ownership of production database stability across engagements
• Design and implementation of monitoring and alerting systems
• Performance tuning across business-critical systems
• Review and hardening of backup procedures, recovery processes, security configurations, and maintenance jobs

• 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

• Meglévő tesztframework továbbfejlesztése adat- és alkalmazásmigrációs szkriptek tesztelésére
• Migrációs tesztesetek elemzése, tervezése és specifikálása
• Adatbázis- és szolgáltatásszintű összehasonlító tesztek kialakítása
• Funkcionális ellenőrzések és mintavételes alkalmazásszintű tesztek végrehajtása

• 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

• 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

• Leading a data engineering team comprising 5-6 consultants
• Overseeing project delivery
• Managing and mentoring the team
• Ensuring successful execution of data engineering projects
• Ensuring successful execution of ML/MLOps projects
• Ensuring successful execution of cloud migration projects

• Development of cutting-edge CI/CD pipelines
• Streamlining systematic processes
• Maintenance of core gateways
• Ensuring security and integrity of software assets
• Trying out new technologies to improve and expand know-how
• Participation in cross-functional, international agile team

• Designing .NET applications for various platforms
• Implementing .NET applications for various platforms
• Testing .NET applications for various platforms
• Understanding the business domain
• Challenging software requirements in the assigned scope of work
• Acting as a team player

• 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

• Build and maintain dataset ingestion, cleaning, and versioning pipelines
• Design and operate labeling workflows including quality control and inter-annotator agreement tracking
• Own dataset testing including coverage analysis, class balance, leakage detection, and dataset documentation

• Work with an agile mindset and according to agile methodology
• Collaboration within the team, with other teams in the Domain and Deutsche Telekom, and with software engineers using the cloud platform
• Approach work with a DevOps and continuous improvement mindset

• Professional guidance, mentoring, and knowledge sharing for manual testers within the same domain
• Support for the Manual Testing Team Lead in resource allocation and coordination activities
• Participation in test scope estimation and definition

• Support the delivery of customer projects using Tulip's no-code platform
• Assist with solution design and configuration for specific manufacturing processes
• Participate in customer interactions and begin building relationships with plant managers, process engineers, and operators

• Keeping airline applications up and running
• Ensuring high availability and stable operations
• Monitoring systems and handling alerts
• Opening, managing and coordinating incidents
• Executing planned maintenance tasks
• Keeping contact with providers and internal technical teams