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Azure Data Engineer - API Development-1
Diconium
Bengaluru, IND
Full-time
Mid
Onsite
Discovered 3 weeks ago
Microsoft AzureAzure Data FactoryAzure DatabricksAzure Synapse AnalyticsAzure Data Lake Storage (ADLS Gen2)Azure SQL Database
Free
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Microsoft AzureAzure Data FactoryAzure Databricks
Role Overview
We are seeking an experienced Azure Data Engineer with strong expertise in data engineering, API development, and Kubernetes-based deployments . The ideal candidate will design, develop, and maintain scalable data platforms on Azure, build secure APIs for data integration, and manage containerized workloads using Kubernetes. The role requires hands-on experience with Azure data services, cloud-native architectures, and CI/CD practices.
Key Skills for This Role
Microsoft AzureAzure Data FactoryAzure DatabricksAzure Synapse AnalyticsAzure Data Lake Storage (ADLS Gen2)Azure SQL Database
Full Job Posting
Job Summary
We are seeking an experienced Azure Data Engineer with strong expertise in data engineering, API development, and Kubernetes-based deployments . The ideal candidate will design, develop, and maintain scalable data platforms on Azure, build secure APIs for data integration, and manage containerized workloads using Kubernetes. The role requires hands-on experience with Azure data services, cloud-native architectures, and CI/CD practices.
Key Responsibilities
- Design, develop, and optimize scalable data pipelines on Microsoft Azure.
- Build and maintain RESTful APIs for data ingestion, integration, and consumption.
- Develop data processing solutions using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, or related Azure services.
- Deploy, manage, and monitor applications and data workloads on Kubernetes (AKS).
- Integrate data from multiple sources including APIs, databases, and external systems.
- Implement data quality, governance, security, and performance best practices.
- Develop CI/CD pipelines for automated deployment and infrastructure management.
- Collaborate with architects, developers, and business stakeholders to deliver data-driven solutions.
- Troubleshoot production issues and optimize cloud infrastructure costs.
Azure Data Engineering
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