Sql állások VII. kerületben középiskolai végzettséggel

• Driving technical excellence in products
• Facilitating technical design, decisions, troubleshooting and delivery
• Supporting managers in building world class engineering teams
• Researching new technologies
• Leading technical investigations and developing POCs

• 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

• End-to-end AI solution ownership from problem definition through prototype validation and production support
• Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives

• NET alkalmazások fejlesztése és karbantartása C# és .NET Core technológia használatával
• RESTful API-k és mikro-szolgáltatások fejlesztése
• Adatbázisok kezelése és optimalizálása (pl. SQL Server, PostgreSQL, NoSQL)
• Szoftverek teljesítményének javítása és hibák keresése
• Meglévő kódok refaktorálása

• Leading a team of engineers to increase delivery capacity for project rollout
• Owning technical execution across frontend and full stack workstreams aligned to a scalable platform model
• Providing hands-on technical leadership in JavaScript, TypeScript and modern frontend frameworks

• Participation in an end-to-end agile team with developers, QA engineers and UX specialists
• Involvement in all aspects of software development from architecture and design to coding, unit and end-to-end testing and data model management
• Designing and implementing new features

• Participation in design, POCs and development of complex tasks
• Ensuring high-quality delivery by developers
• Working closely with architects to communicate, align and implement architecture direction
• Aligning with other tech leads to ensure technical consistency

• Az IT termék vagy alkalmazás backlogjának kezelése és priorizálása
• Üzleti és technikai követelmények összegyűjtése és pontosítása
• User story-k, functional specificationök és acceptance criteria-k készítése
• Folyamatos együttműködés fejlesztői és tesztelői csapatokkal

• Leading a data engineering team comprising 5-6 consultants
• Overseeing project delivery of data engineering, ML/MLOps, and cloud migration projects
• Managing and mentoring the data engineering team
• Building and optimizing scalable, high-performance data pipelines

• Új backend alkalmazások és funkciók fejlesztése Java és kapcsolódó technológiák segítségével
• RESTful API-k tervezése és megvalósítása, amelyek hatékonyan kommunikálnak az adatbázisokkal
• A teljes fejlesztési életciklusban való aktív részvétel: tervezés, fejlesztés, tesztelés és telepítés

• Participation in design, POCs and development of complex tasks
• Ensuring high-quality delivery by developers
• Working closely with architects to communicate, align and implement architecture direction
• Aligning with other tech leads to ensure technical consistency

• 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

• Tackling complex technical challenges focused on scalability, reliability, and speed
• Maintaining a high-performance infrastructure that processes millions of events with low latency
• Collaborating with Data Scientists and Engineers to design and implement cutting-edge feature topologies

• 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

• Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• Develop and maintain the platform’s core capabilities such as orchestration, data quality validation, and schema management tools

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...

• Design and implementation of portfolio solutions for clients
• Ongoing management of portfolio solutions to meet client objectives and constraints
• Keeping up to date with client trends, industry news, events, research, and regulations

Design of high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

• 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

• 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