Technical product designer állások Budaörsön (it programozás, fejlesztés)

Technical Issue Resolution: Investigate and resolve issues related to third-party integrations, including API failures, data transfer errors, and system inconsistencies....

Hardver- és szoftverproblémák sikeres megoldása belső vagy külső ügyfelek, végfelhasználók és proaktív riasztórendszerek megkeresései alapján...

Bridge Between Tech and Stakeholders: Act as intermediaries between engineering teams and stakeholders, ensuring clean, transformed datasets. Understand business requirements and translate them into technical specifications...

• ETL Pipeline Development: Develop, optimize, and maintain ETL pipelines to efficiently extract, transform, and load data from various sources, ensuring high data quality.
• Monitor and troubleshoot production data pipelines, ensuring their performance and reliability.

• Design and develop cloud-native data processing pipelines, microservices, and APIs using Java (17+) / Spring Boot.
• Integrate with enterprise data platforms via messaging frameworks such as RabbitMQ or Zeebe.
• Deploy, monitor, and operate applications in public cloud environments (Azure preferred).

• Act as the main point of contact between clients and internal teams
• Plan, coordinate, and oversee project execution, ensuring deadlines, scope, and budgets are met
• Prioritise and track development tasks in collaboration with stakeholders and technical teams

• Triaging new requirements, assessing their impact, and providing estimates for modifying data models accordingly.
• You will also be responsible for developing and enhancing business physical data models to meet evolving needs while driving alignment as necessary.

• Handle day‑to‑day NetSuite administration (users, roles, permissions, custom fields, forms, workflows).
• Monitor system performance, troubleshoot issues, and ensure data accuracy.
• Manage NetSuite releases: test changes in sandbox, analyze impact, and communicate updates.

• Performance Optimization – Important for large datasets, but not critical for small reports.
• Accessibility (a11y) – Recommended for enterprise or public-facing apps.
• Testing (Jest/Cypress) – Good for production reliability, but not mandatory for MVP.

• Design and operate advanced journeys and automations in Salesforce Marketing Cloud (ExactTarget)
• Build complex segmentation and executive / account-based targeting
• Manage and optimize Sales Cloud ↔ Marketing Cloud integration