Azure Data Engineer (Full Stack)

Intersources Inc.
New York, NY, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$26,000.0
Working hours
Regular working hours

Tech stack

Clean Code Principles Java (Programming Language) Application Programming Interfaces (APIs) Apache HTTP Server Microsoft Azure Batch Processing Cloud Engineering Data Architecture Information Engineering Data Integrity Extract Transform Load (ETL) Data Transformation
+21 more
DevOps Distributed Data Store Performance Tuning Service Development Studio Software Deployment SQL Stored Procedures Systems Integration Enterprise Data Management Azure Service Bus Data Logging Azure Data Factory Apache Spark Backend Event Driven Architecture Apache Flink Apache Kafka Api Design Software Coding Data Pipelines Api Management Serverless Computing

Job description

We are seeking an experienced Azure Data Engineer (Full Stack) to support the evolution of the firm’s enterprise data platform. The role is hands-on and spans backend data engineering, service development, and integrations within Azure. You will design, build, and support scalable, production-grade data pipelines and applications, and work closely with business and technology teams to deliver reliable solutions., * Design, build, and maintain end-to-end data pipelines supporting the enterprise data platform.

  • Develop and optimize SǪL models, stored procedures, and data transformations.
  • Build backend services and integrations using C# and .NET.
  • Develop and maintain Azure-based solutions including Azure Data Factory and Azure Functions.
  • Design and develop APIs and service layers to expose data to downstream systems.

  • Implement event-driven and batch processing patterns where appropriate.
  • Ensure data integrity, performance, and reliability across the platform.
  • Implement monitoring, logging, and alerting across pipelines and services.
  • Collaborate with DevOps, data engineering, and business teams to deliver solutions.
  • Contribute to coding standards, governance, and development best practices.
  • Support production deployments and troubleshoot issues across the stack.

Requirements

  • 10+ years of experience in software or data engineering roles.
  • Strong SǪL skills including data modeling and performance tuning.
  • Hands-on experience with C# and .NET development.
  • Experience working within Microsoft Azure environments (ADF, Functions).
  • Experience building APIs and service-based architectures.
  • Strong understanding of ETL/ELT patterns and data pipeline design.
  • Experience working with large-scale or distributed data systems.
  • Strong analytical, problem-solving, and communication skills., * Experience with modern cloud-native data architectures.
  • Hands-on experience with Apache tools (Kafka, Spark, Flink) and Java-based frameworks.
  • Experience with event-driven architectures (e.g., Event Hubs).
  • Familiarity with Azure App Configuration.
  • Experience working with Azure API Management (APIM).
  • Experience with CI/CD pipelines and DevOps practices.
  • Experience in financial services or investment management environments.

About the company

The company is a leading, highly diversified global investment manager with approximately $55 billion in assets under management. Company is headquartered in New York.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on intersourcesinc.com

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