Sql állások Budaörsön középiskolai végzettséggel

• hibajegyek, szolgáltatási szintek és visszatérő problémák kezelése,
• felhasználói és jogosultsági folyamatok dokumentált működtetése,
• konfigurációk végrehajtása,
• felhasználói oktatások lebonyolítása.
• Új vállalati alkalmazások bevezetési projektjeiben való részvétel,

- ERP támogatás és üzleti folyamatfejlesztés: - Az Octopus 8 ERP rendszer napi szintű szakmai támogatása admin szinten - Back office B2C folyamatok felügyelete - Raktári, logisztikai, pénzügyi, beszerzési és értékesítési folyamatok fejlesztésében való részvétel - Automatizációs lehetőségek...

• Analysis of webshop and digital campaign performance across multiple brands and channels
• Building and maintaining campaign benchmarking databases using historical performance data
• Development of forecasting methodologies and performance estimates for future campaigns

• Design and maintenance of automated deployment pipelines
• Support and operation of Kubernetes-based platforms and containerized workloads
• Management of infrastructure provisioning and configuration using Terraform
• Deployment and support of Apache Kafka environments

• Definition and improvement of metrics reflecting product performance, service quality, and operational efficiency
• Analysis of client behavior and service processes to identify trends, bottlenecks, inefficiencies, and drivers of performance

• Technical ownership of governance infrastructure supporting the GBS Digital Enablement organization
• Maintenance and continuous enhancement of governance infrastructure
• Ensuring reliability, scalability, governance and accuracy of tools, workflows, data structures and reporting solutions

• Informatikai alkalmazás üzemeltetési támogatása
• Éles és teszt környezetek támogatása, karbantartása
• Verzióváltások, telepítések végrehajtása a szállítóval együttműködve
• EOD folyamatok felügyelete, és az esetleges hibák elhárítása
• A rendszerek folyamatos rendelkezésre állásának biztosítása

• Setup, operation, maintenance, and reliability of databases used for IT service operations and ITSM processes
• Operation-relevant databases supporting service management, monitoring, reporting, and operational tooling

• Microsoft SQL Server operation including maintenance, migrations, administration, configuration
• Support for developers, testers and DevOps engineers about best practices in database operation

• 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

• A Flexcube rendszer esetén általános szervezői feladatok elvégzése:
• Napi ügymenet biztosítása, az akadályozó tényezők elhárításában aktív közreműködés
• Társterületekkel való kapcsolattartás
• Adminisztrációs feladatok végzése (CASD, JIRA)

• 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

• Work with Product Line Leaders to understand product requirements and vision
• Translate requirements and vision into prioritized list of user stories and deliver to required timelines and quality standards

• Writing and maintaining clean, high-quality, efficient and well tested code that aligns with project specifications
• Architecting and implementing key abstractions that bridge the gap between Software Engineering and DevOps

• Design new features in a flagship SaaS product
• Code new features in a flagship SaaS product
• Review new features in a flagship SaaS product
• Test new features in a flagship SaaS product
• Refactor legacy software components
• Participate in large-scale design of the future state of the product

• Development, maintenance, and support of cloud-based data operation infrastructure and production data pipelines
• Design, implementation, operation, and optimization of Azure data services and Databricks workloads

• Maintaining and evolving data structures
• Building new ETL flows and maintaining/improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

• Maintaining and evolving data structures
• Building new ETL flows and maintaining or improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

• 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

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