Sql állások Budapesten (it programozás, fejlesztés)

• 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

• 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

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

• Design and code clean, maintainable and high-performance custom-build solutions based on Java technologies and related frameworks
• Follow defined methodology and standards to create software of high quality
• Conduct code reviews and provide constructive feedback to team members

• Development, governance, deployment, and ongoing enhancement of liquidity analytics models and supporting infrastructure across asset classes
• Driving the analytics product lifecycle, including prioritizing initiatives, influencing roadmap decisions, and ensuring successful deployment into production

• 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

Web alapú vállalatirányítási rendszer fejlesztése...

• Writing and maintaining clean, high-quality, and efficient code aligned with project specifications using AI tools daily to accelerate delivery
• Executing comprehensive testing and seamless deployment of programs and systems
• Communicating technical information clearly and effectively with team members

• Ownership of data models and storage architecture behind AI systems across relational, graph, and retrieval-oriented data
• Building and operating APIs, backend services, and pipelines to keep data current and accessible

• Design, delivery and evolution of secure, scalable Ruby on Rails applications and services
• Setting technical direction for major projects and platform initiatives from solution design through implementation and production ownership

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

• Operating a mobile communication platform for corporate IOT devices
• Analysing API related issues
• Providing 3rd level application support
• Executing SQL fixes through CI/CD pipelines
• Problem management of assigned tickets
• Organizing virtual meetings with other departments and SW vendors

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

• 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

• Creation and support of business intelligence solutions
• Driving BI requirements with clients
• Ensuring accurate reporting documentation capture
• Communication with internal and external stakeholders
• Definition of best practices and design/development of data layers for reporting development and deployment

• Technical leadership and mentoring of data engineers
• Technical oversight for Databricks solutions
• Design and implementation of scalable ETL/ELT pipelines using Databricks, Python/PySpark, SQL, and Delta Lake

• Ügyféligények megértése és egyeztetése
• Részletes funkcionális specifikáció készítése
• Fejlesztési folyamat támogatása
• Tesztesetek és tesztelési forgatókönyvek készítése
• Közreműködés a tesztelések végrehajtásában
• Folyamatos kapcsolattartás az üzleti területekkel
• Élesítés támogatása és koordinálása

• Lead the design of AI-assisted SDLC patterns for repository intake, code exploration, build diagnosis, and engineering evidence generation
• Manage and prioritize the product backlog balancing maintenance and modernization efforts

• Analysis of global service quality data including non-conformance costs, corrective and preventive actions, customer satisfaction, NPS, and audit findings
• Transformation of analysis into clear conclusions and prioritized recommendations for regions, central functions, and management

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations
• Provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams