Description

Design and maintain cloud-native data architectures on AWS.

This role is on-site.

Responsibilities

• Define and implement data decomposition patterns for scalability and performance.
• Create and maintain Logical Data Models (LDMs) and Physical Data Models (PDMs).
• Lead data migration strategies using AWS DMS and AWS SCT.
• Develop server-side applications using Java 17+ and Spring Boot 2.5+.
• Establish best practices for CI/CD pipelines and infrastructure observability.

Required Skills

• 5+ years of professional experience in a relevant role.
• Strong proficiency in Java (Java 17 or later).
• Expertise in Spring Boot (2.5+) and Spring Framework (5+).
• Advanced knowledge of data decomposition patterns.
• Proficiency in Logical and Physical Data Models (LDMs and PDMs).
• Extensive experience with AWS DMS and AWS SCT.
• Hands-on experience with polymorphic data types and Abstract Data Types (ADTs).
• Experience with relational databases such as MySQL and PostgreSQL.

Preferred Skills

• Familiarity with containerization using Docker and Kubernetes.
• Experience with observability tools like Prometheus, Grafana, and ELK Stack.

Key Skills

Education

Any Gradute