Lead java developer állások, munkák adatbázisszakértő kategóriában

• Nemzetközi és magyar piacon is meghatározó rendszer tervezésében és fejlesztésében való részvétel
• Meglévő alkalmazások továbbfejlesztése, új programrészek fejlesztése és tesztelése
• Részvétel az IT projektekben a tervezéstől a megvalósításig
• Hibák keresése és javítása
• Adatbázis tervezés és fejlesztés

• Building and refining critical controls to prevent Wise customers from scams
• Driving backend and frontend for scam prevention and detection systems
• Delivering tangible, real-world impact by securing customers' money
• Accelerating product growth by raising automation levels

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

• Implementation and support of VB.NET based software solutions
• Participation in the run and maintain team for MES software

• Dividend system application development using Java and SQL technologies
• Designing, implementing, and delivering high-quality software solutions that conform to architectural standards
• Optimizing and refactoring existing code for improved reliability and performance

Our Business Intelligence Engineer builds data pipelines, reports, dashboards, and analyses to deliver metrics and insights to the business. Our Business Intelligence Engineers tackle some of the most complex challenges in large scale computing, work in small teams across the company to contribute...

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn data into actionable business value aligned with business goals

• Write code that is simple, readable, testable, and maintainable, whether you write it yourself or with the help of AI tools
• Conduct code reviews, give helpful feedback, actively contribute in team discussions and decisions

• Whether in the cloud or an on-premises data center, you expertly navigate the world of Big Data, helping our clients make their data business- or operations-ready.
• You access diverse data sources efficiently and reproducibly.
• You design, test, and monitor distributed data processing pipelines.