Azure Data Engineer

STRAVEXA is seeking an Azure Data Engineer (Full Stack) on behalf of their client in New York. The successful candidate will design and develop scalable data platforms and APIs while leveraging Microsoft Azure technologies to support enterprise data initiatives.

Responsibilities:

• Design, develop, and optimize scalable ETL/ELT data pipelines and integration solutions
• Build and maintain enterprise applications, APIs, and services using C# and .NET technologies
• Architect and implement cloud-native solutions within the Microsoft Azure ecosystem
• Develop and support data workflows using Azure Data Factory (ADF), Azure Functions, and related Azure services
• Create and optimize database solutions, including data modeling, query tuning, and performance optimization
• Design and support large-scale distributed data platforms and processing systems
• Implement and maintain event-driven architectures and real-time data integration solutions
• Collaborate with cross-functional teams to deliver secure, reliable, and high-performing technology solutions
• Support CI/CD processes and contribute to DevOps best practices and deployment automation
• Participate in solution design, architecture reviews, and continuous improvement initiatives

Requirements:

• 10+ years of experience in Data Engineering, Software Engineering, or related technical roles
• Strong expertise in SQL, including data modeling, query optimization, and performance tuning
• Hands-on experience with C# and .NET application development
• Experience working within Microsoft Azure environments, including Azure Data Factory (ADF) and Azure Functions
• Experience designing and developing RESTful APIs and service-oriented architectures
• Strong understanding of ETL/ELT methodologies, data integration, and pipeline design
• Experience working with large-scale, high-volume, or distributed data systems
• Excellent analytical, problem-solving, and communication skills
• Experience with modern cloud-native data architectures
• Hands-on experience with Apache Kafka, Spark, Flink, or similar distributed processing technologies
• Experience implementing event-driven architectures using Azure Event Hubs or comparable platforms
• Familiarity with Azure App Configuration
• Experience working with Azure API Management (APIM)
• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure automation
• Prior experience within Financial Services, Investment Management, Asset Management, or