Full Stack Data Engineer

The Full Stack Data Engineer will design, develop, and maintain REST APIs and backend data services that support an enterprise-grade platform.

This role involves working with modern Java frameworks, SQL, cloud technologies, and CI/CD pipelines to build secure, scalable, and high-performing solutions.

The engineer will collaborate with cross-functional teams to create exceptional customer-focused experiences and contribute to platform modernization and cloud migration initiatives.

Key Responsibilities

• Design, develop, and maintain REST APIs and backend services aligned with enterprise standards and security guidelines.
• Work with Core Java, J2EE, and frameworks such as Spring Boot or Dropwizard to build scalable services.
• Develop, debug, and optimize SQL queries and PL/SQL programs.
• Work with AWS for cloud development, deployment, and application management.
• Implement CI/CD pipelines and automation practices in alignment with DevOps standards.
• Develop and maintain unit tests and automation using tools such as JUnit, Cucumber, JMeter, or Bruno.
• Troubleshoot development, testing, and production issues; participate in root cause analysis.
• Monitor API and data service performance and ensure adherence to quality and security standards.
• Collaborate with remote and international teams to deliver high-quality solutions.
• Contribute to cloud migration efforts and platform modernization initiatives.

Required Qualifications

• Bachelor’s degree with 5+ years of experience, or master’s degree in Computer Science (or related field) with 3+ years of experience.
• 3–5 years of experience in Core Java, J2EE, and frameworks such as Dropwizard or Spring Boot.
• Strong SQL expertise with hands-on experience writing, tuning, and debugging complex SQL and PL/SQL.
• Experience with CI/CD pipelines and automation tools.
• Hands-on experience with AWS cloud development and deployment.
• Strong working knowledge of unit testing and test automation frameworks.
• Experience with tools like JUnit, Cucumber, JMeter, or Bruno.
• Strong communication skills and the ability to work in fast-paced, dynamic environments.
• Ability to troubleshoot, validate, and resolve development and production issues.
• Experience participating in incident root cause analysis (RCA).

Preferred Qualifications

• Experience working in customer-centric product engineering environments.
• Strong leadership, communication, and problem-solving skills.
• Experience working with distributed global teams.
• Experience building solutions that support AI/ML-driven personalization (a plus).
• Experience supporting cloud migration initiatives and DevOps best practices.