BBI is seeking a highly skilled and experienced Senior Cloud Data Engineer to design, develop, and support enterprise-scale iPaaS and event-driven data integration platforms on Microsoft Azure. The role focuses on building scalable integration frameworks, API orchestration, and operational workflows across distributed systems.
Responsibilities:
- Design and develop cloud-native iPaaS integration frameworks on Azure
- Implement reusable inbound, outbound, and feedback-driven integration services
- Build scalable API orchestration and event-processing frameworks
- Develop canonical integration patterns and standardized payload models
- Implement event-driven architectures using Logic Apps, Azure Service Bus, Event Grid, or Kafka
- Develop retry, replay, dead-letter, and idempotency frameworks
- Build containerized microservices using Python and Kubernetes-based deployment patterns
- Develop scalable AKS-hosted integration applications
- Build REST APIs and integration services
- Build and support workflow orchestration frameworks using Astronomer Airflow / Apache Airflow
- Develop metadata-driven pipeline orchestration frameworks
- Develop Snowflake integration workflows and operational frameworks
- Develop Cosmos DB integration services and operational frameworks
- Implement centralized logging, audit, and operational monitoring frameworks
Requirements:
- 5–8+ years of experience in Cloud Data Engineering, Integration Engineering, or Distributed Systems development
- Strong hands-on expertise with Microsoft Azure cloud services
- Strong experience implementing enterprise integration platforms and event-driven workflows
- Hands-on experience with Azure Service Bus, Event Grid, messaging, and asynchronous processing
- Strong understanding of retry frameworks, replay mechanisms, dead-letter handling, and idempotency
- Strong experience with Kubernetes and Azure Kubernetes Service (AKS)
- Hands-on expertise with Docker containerization
- Strong Python development experience
- Experience building REST APIs and event-processing applications
- Strong hands-on experience with Astronomer Airflow / Apache Airflow
- Hands-on experience integrating enterprise data platforms with Snowflake
- Familiarity with deploying applications using Helm Charts and Kubernetes manifests
- Familiarity with CI/CD pipelines and cloud-native deployment practices
- Familiarity with Terraform or Infrastructure as Code concepts
- Exposure to Azure Key Vault and secure secret consumption patterns
- Familiarity with Kafka and real-time streaming architectures
- Exposure to metadata-driven orchestration or integration frameworks
- Experience with monitoring platforms such as Azure Monitor, App Insights, Grafana, or Prometheus
- Familiarity with AI-assisted workflow orchestration or agentic execution frameworks
- Experience with GitOps, Ansible, ARM Templates, or Bicep
- Azure, Kubernetes, or Snowflake certifications