Sql állások Budapesten (it programozás, fejlesztés)

• Design, build, and maintain robust data pipelines that are scalable, efficient, and meet business needs
• Collaborate with cross-functional teams to understand and translate business requirements into data solutions

• Definition and improvement of metrics representing product performance and operations efficiency
• Data collection from multiple sources ensuring accuracy and completeness
• Data cleaning, organization, and transformation into usable formats for analysis

Assess and document downstream impact of Skills and Job Architecture data quality issues across payroll processing, management reporting, third-party integrations, and AI/machine learning model inputs...

• PEGA alacsony kódszintű alkalmazásfejlesztés eset típusok, munkafolyamatok és üzleti folyamatok modellezése és megvalósítása a PEGA Platformon
• Újrafelhasználható komponensek készítése több alkalmazásban is felhasználható funkcionális modulok fejlesztése

• Development and customization of Siemens Opcenter APS and Opcenter Execution or Camstar solutions
• Implementation of custom functionalities using C# and SQL
• Support of Siemens Opcenter APS and Opcenter Execution solutions in complex manufacturing environments

• Design, build, and maintain backend services and APIs using C#/.NET Core in a cloud (AWS) environment
• Contribute to the development of scalable and secure microservices supporting SaaS products
• Work with Angular to implement and support end-to-end features where needed

• Consulting services related to Oracle’s retail modules for customers
• Reorganization and optimization of retail processes
• Bridging retail process owners and IT consultants, developers
• Support of system implementation and integration
• Management of functional part of implementation and development

• Build-from-zero applications powered by the HawkAI Engine
• Bridge machine learning models and real-time data pipelines into APIs and user interfaces
• Integrate AI-assisted development tools into software architecture and data integrity workflows

• Building and maintaining SQL queries and reports that track bookings, pipeline coverage, and conversion
• Monitoring CRM data quality to resolve issues at the source
• Analyzing pipeline trends and supporting the weekly forecasting review cadence with clean, accurate data

• Geographic information systems, spatial analysis, and map server infrastructure
• Maintain a performance oriented GeoServer and database
• Create new features based on specification
• Actively take part in the system design
• Optimize data flows, build automated data piplines

• Preparation for containerization
• Increasing scalability of systems
• Maintaining high quality of systems
• Re-evaluation of systems design
• Development of new features
• Building a scalable multi-brand gaming platform

• Resource account igénylése és összekötése namespacekkel
• Resource accountba kerülő komponensek megvalósítása RDS, APIk, S3, MSK, cognito, SES, private link endpoint és endpoint service nonprod és prod környezeteken
• RICE API kapcsolatok kialakítása

• 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

• Business and system analysis throughout the full feature lifecycle
• Analysis and mapping of processes across the trading stack including accounts, instruments, liquidity and execution, custody, settlement, and reconciliation

• Voice Analytics adatok és riportok folyamatos nyomon követése és elemzése
• Hívási adatok, ügyfélmegkeresések, call reasonök és trendek vizsgálata
• Adatok tisztítása, rendszerezése és elemzése Excel, illetve Power BI segítségével

• Design, build, review, test, and maintain Ruby on Rails features and services in line with Diligent’s agile engineering practices
• Own technical delivery for projects, epics, and major user stories, including solution design, implementation planning, and execution through to production

• Lead the architecture, design, and implementation of enterprise-scale web applications using modern frontend technologies
• Serve as the technical lead for UI development while remaining actively involved in coding, design reviews, and implementation

• 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

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping
• Rigorously validate AI outputs to ensure quality and safety

• 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;