Recruitment coach állások Budaörsön (it programozás, fejlesztés)

• 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.

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.

• 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.

• Helping Scrum Masters and development team to achieve customer satisfaction
• Help scrum and development teams in operations like JIRA boards and Confluence spaces
• Remove impediments related to operations and coach the scrum team on removing impediments
• Resolve conflicts and issues that occur

• 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).

• Drive online business growth and profitability across CE markets.
• Analyse KPIs and competitor activity to inform strategy.
• Develop business cases and manage projects from planning to launch.
• Enhance customer journeys across web and app platforms.