Developer

Unlock the potential of data engineering in a role that drives innovation and transforms insights into action.

We are seeking a skilled Data Engineer for an onsite position, playing a pivotal role in harnessing cutting-edge Azure technologies. You will work with products such as Azure AI & Machine Learning, Azure Analytics, Azure Data, Azure DevOps, and Azure IaaS to deliver impactful solutions that enhance data processes and support business objectives.

Key Responsibilities

Event-Driven & Streaming Architecture

* Design and implement event-driven architectures using Azure Event Hubs and Kafka.
* Build and maintain scalable real-time streaming data pipelines.
* Ensure high availability, fault tolerance, and performance optimization of streaming platforms.
* Define messaging standards, schemas, and integration best practices.

API & Serverless Integration

* Develop and manage APIs using Azure API Management (APIM).
* Build serverless integration services using Azure Functions.
* Design RESTful APIs and microservices-based integration solutions.
* Manage API lifecycle, versioning, and security policies.

Data Platform Enablement

* Integrate data into downstream platforms such as Azure Databricks and SQL-based systems.
* Support real-time ingestion into analytics and operational reporting systems.
* Collaborate with data engineering teams on ingestion frameworks.
Governance, Security & Monitoring
* Implement monitoring, logging, and alerting for integration services.
* Apply authentication and authorization standards (OAuth, managed identities, RBAC).
* Ensure secure and compliant data movement across environments.
* Maintain architecture documentation and integration blueprints.
Collaboration & Delivery
* Partner with enterprise architects and engineering teams to define integration strategy.
* Drive integration initiatives from design to production deployment.
* Provide technical guidance and mentorship to junior engineers.
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Qualifications & Experience

* Bachelor's degree in Computer Science, Engineering, or related field.
* 6-7 years of experience in integration engineering or middleware development.
* Strong hands-on expertise in:
o Azure Event Hubs
o Kafka
o Azure API Management (APIM)
o Azure Functions
o SQL
o Azure Databricks
* Experience designing event-driven and microservices architectures.
* Strong understanding of distributed systems and messaging patterns.
* Experience working in cloud-native Azure environments.

If you are passionate about data engineering and ready to take on new challenges, we encourage you to apply for this exciting opportunity. Core benefits include a competitive pension plan, retirement savings contributions, and comprehensive medical insurance.

* 5 days a week in office in Claremont