Sql developer állás, munka

• 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

• Lead the design and implementation of scalable data pipelines and Lakehouse architectures
• Act as the design authority
• Solve the hardest technical challenges including optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

• Participation in an end-to-end agile team with developers, QA engineers and UX specialists
• Involvement in all aspects of software development including architecture and design
• Writing code, unit and end-to-end tests
• Managing data models
• Designing and implementing new features

• Experience in different Data Science topics
• Independent delivery of Data Science projects with e2e product-oriented mindset
• Direct engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

• 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

• Design, develop and maintain software, tools and applications across the Baseball tracking platform
• Modernise and improve existing software systems
• Develop cross-platform C++ applications and visualisation components
• Participate in code reviews, pair programming and agile ceremonies

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

• 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

• 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

• 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

• 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

• 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

• 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