Data Integration Engineer

Design and implement system integrations using MuleSoft for API management and seamless data exchange across platforms.

Configure, deploy, and manage MuleSoft applications within the Azure Runtime Fabric (RTF) environment.

Ensure high performance, security, and scalability of integration solutions.

Monitor, troubleshoot, and resolve issues in middleware workflows and integrations.

Design and develop reusable Python frameworks for automating ETL processes and integration workflows.

Build custom scripts and tools to improve ETL efficiency, performance, and maintainability.

Collaborate with cross-functional teams to integrate Python-based solutions into enterprise systems.

Deploy and manage ETL and integration applications on Azure Runtime Fabric (RTF).

Optimize cloud resources to ensure scalability, cost-efficiency, and performance.

Implement cloud-native solutions to enhance application reliability and resilience.

Ensure adherence to best practices in cloud security, monitoring, and CI/CD pipelines.

Strong hands-on experience with MuleSoft (Anypoint Platform, APIs, integrations).

Proficiency in Python development, particularly in ETL and automation frameworks.

Experience working with Azure Cloud, specifically Runtime Fabric (RTF) or similar containerized environments.

Solid understanding of API design, data integration patterns, and middleware architecture.