Software Engineer - Data Engineering

• Design, develop, and maintain scalable ETL/ELT solutions that extract, transform, and load data from multiple enterprise data sources into Oracle databases.
• Develop data processing frameworks and correlation models that support risk analysis and security-related business objectives.
• Design and build highly scalable RESTful APIs using industry best practices and security standards.
• Develop and deploy Spring Boot applications using microservice architecture patterns.
• Support application deployment, monitoring, troubleshooting, and performance optimization activities.
• Participate in all phases of the software development lifecycle including requirements gathering, design reviews, testing, certification, and production implementation.
• Partner with architects, business stakeholders, and engineering teams to deliver scalable and resilient solutions.
• Build highly available and high-throughput data processing platforms capable of supporting future business growth and increased data volumes.

• 5+ years of software engineering experience.
• 5+ years of data engineering experience.
• 5+ years developing and deploying Spring Boot applications using microservices architecture.
• 5+ years working with containerized environments including Docker, Kubernetes, and/or OpenShift.
• 5+ years building scalable RESTful APIs using secure development practices.
• Strong experience with Java application development and data pipeline engineering.
• Experience troubleshooting and resolving performance bottlenecks in enterprise Java applications., * Experience supporting Identity and Access Management (IAM) solutions.
• Experience with enterprise security-focused applications and risk-based systems.
• Experience developing large-scale distributed applications and data processing platforms.

Technologies

• Java
• Spring Boot
• REST APIs
• Docker
• Kubernetes
• OpenShift
• Oracle
• ETL/ELT Technologies
• CI/CD Pipelines