Collaborate directly with business stakeholders to gather and understand requirements

Write clean, modular, and reusable code for database solutions

Independently design and architect database solutions to meet business needs

Develop expertise in specific database areas while maintaining proficiency across multiple domains

Continuously learn and stay updated on the latest database technologies and best practices

Take ownership of assigned tasks and maintain accountability for project deliverables

Assess opportunities for automation and determine when manual processes are more appropriate

Troubleshoot and resolve database-related issues to ensure optimal system performance

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field

At least 3 years of relevant experience in database engineering or a similar role

Proficiency in data engineering with Java

Strong knowledge of SQL and NoSQL databases

Experience with Apache Kafka for real-time data streaming and processing

Expertise in Spring Boot and its frameworks, including Spring MVC, Spring Data, and Spring Security

Proficiency in version control systems, particularly Git

Hands-on experience with AWS cloud services

Familiarity with ETL/ELT solutions for data integration and processing

Advanced troubleshooting skills to resolve complex database issues

Strong communication skills for effective collaboration with team members and stakeholders

Experience with Test-Driven Development (TDD) methodologies

Proficiency in orchestration platforms such as RedHat OpenShift or similar tools

Experience working in Agile environments, including Scrum or Kanban methodologies

Fluent English skills, both written and spoken, at a B2+ level or higher

Knowledge of Python and its application in database engineering

Experience with Kubernetes, Docker, and CI/CD pipelines

Familiarity with healthcare interoperability standards