Data Integration Engineer (Mulesoft)

Role Overview

We are seeking an experienced Data Integration Engineer to design, build, and manage robust integration solutions using MuleSoft, Python-based ETL frameworks, and Azure Runtime Fabric (RTF). This role focuses on enabling seamless data exchange across systems while ensuring scalability, performance, and reliability of integration workflows.

Responsibilities

• Design and implement system integrations using MuleSoft for API management and data exchange across platforms.
• Configure, deploy, and manage MuleSoft applications within the Azure Runtime Fabric (RTF) environment.
• Design and develop reusable Python frameworks to automate ETL processes and integration workflows.
• Deploy and manage ETL and integration applications in the Azure environment.
• Optimize resource utilization and implement cloud-native solutions to enhance application reliability.

Requirements

• Strong experience with MuleSoft (Anypoint Platform, APIs, integrations).
• Proficiency in Python development, especially in ETL and automation frameworks.
• Hands-on experience with Azure Cloud and Runtime Fabric (RTF).
• Solid understanding of API design, middleware architecture, and data integration patterns.
• Familiarity with DevOps practices (CI/CD, deployment automation).

Skills

• MuleSoft
• Python
• Azure
• ETL
• API Management

Nice to Have

• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with data pipelines, data warehousing, or large-scale data processing.
• Knowledge of monitoring tools and performance tuning techniques.