Experience:
6+ Years

Employment Type:
Contract

Contract Duration:
3–6 Months

Work Mode:
Work From Office (WFO)

Compensation:
₹1.3 Lakh/month + GST

Interview Mode:
Virtual

Availability:
Immediate / Short Notice Preferred

About the Role

We are looking for a hands-on
Azure Data Platform Engineer
with 6+ years of experience in Azure Data Engineering and Cloud Infrastructure. The ideal candidate should have robust expertise in
Azure data platform administration, infrastructure automation, monitoring, troubleshooting, CI/CD, containerization, and disaster recovery
.

The role requires solid hands-on experience managing enterprise Azure environments across Development, Testing, Pre-Production, and Production.

Key Responsibilities
Administer and manage Azure Data Engineering and cloud platform services.
Manage
Azure Data Factory, Synapse Analytics, Databricks, Cosmos DB, ADLS Gen2, Event Hub, APIM, Function Apps, Logic Apps, and App Services
.
Provision and manage Azure infrastructure using
ARM Templates and Terraform (IaC)
.




Manage containerized applications using
Docker and Azure Kubernetes Service (AKS)
.
Configure and manage
Azure Monitor, Log Analytics, and Application Insights
for monitoring, logging, and alerting.
Implement backup, disaster recovery, failover, and high-availability strategies.
Manage Azure settings across Development, Testing, Pre-Production, and Production.
Schedule, monitor, and troubleshoot data processing and job workflows.
Troubleshoot failed
Databricks and Azure Data Factory jobs
, perform RCA, and implement corrective actions.
Manage distributed streaming platforms, particularly
Azure Event Hub
.
Automate infrastructure and operational processes using
Python and Shell scripting
.
Implement and maintain CI/CD pipelines using
Jenkins and Azure DevOps
.
Monitor and troubleshoot Azure VM resources including CPU, memory, OS, storage, and networking.
Analyze application and system logs to troubleshoot perfor

📌 Azure Data Platform Engineer Adf Databricks Synapse Terraform Pune (India)
🏢 Asian Hires
📍 India