Mandatory Skills (Non-Negotiable)

- Hands-on experience with Apache NiFi
- Robust expertise in Azure Event Hub
- Experience with Azure Functions
- Enterprise-scale Data Platform Administration
- Azure Kubernetes Service (AKS)
- Kubernetes Administration
- Azure DevOps
- CI/CD Pipeline implementation
- Terraform
- Docker
- Azure Monitor & Log Analytics

Preferred Skills

- Azure Container Registry (ACR)
- Bicep
- ARM Templates
- Azure Networking
- Virtual Networks (VNet)
- Network Security Groups (NSG)
- Private Endpoints
- Azure RBAC
- NGINX Ingress Controller
- GitOps
- ArgoCD
- Prometheus
- Grafana
- Autoscaling
- Bash Scripting
- Python Scripting

Key Responsibilities

- Design, deploy, and administer enterprise-scale Azure Big Data Platforms.
- Build, manage, and optimize Apache NiFi data pipelines for high-volume data ingestion and processing.
- Configure and manage Azure Event Hub for real-time streaming workloads.
- Develop and maintain Azure Functions for event-driven architectures.
- Deploy and manage containerized workloads using Azure Kubernetes Service (AKS).
- Implement Infrastructure as Code (IaC) using Terraform, Bicep, and ARM Templates.
- Build and maintain CI/CD pipelines using Azure DevOps and YAML pipelines.
- Configure Azure networking including VNets, NSGs, Private Endpoints,



and RBAC.
- Monitor platform health using Azure Monitor, Application Insights, Log Analytics, Grafana, and Prometheus.
- Manage container images using Azure Container Registry (ACR).
- Implement GitOps practices using ArgoCD.
- Troubleshoot production issues and ensure platform reliability, security, and scalability.
- Collaborate with development, architecture, and operations teams to deliver highly available cloud platforms.

Required Experience

- 6–12 years of overall IT experience.
- Minimum 3+ years of hands-on Azure Platform Engineering experience.
- Proven experience administering enterprise-scale Azure data platforms.
- Strong experience with Kubernetes production environments.
- Experience building automated DevOps pipelines.
- Excellent troubleshooting and performance optimization skills.

Preferred Candidate Background

Candidates currently working as:

- Azure DevOps Engineer
- Azure Platform Engineer
- Cloud Infrastructure Engineer
- Platform Engineer
- Kubernetes Administrator
- Site Reliability Engineer (SRE)
- Azure Cloud Engineer
- DevOps Engineer
- Data Platform Engineer

Pay: ₹692,322.42 - ₹1,898,338.55 per year

Work Location: Remote

📌 Big Data Platform Engineer (India)
🏢 TalentNest Solutions
📍 India