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Experience: 6+ Years Employment Type: Contract Contract Duration: 36 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 strong expertise in Azure data platform administration, infrastructure automation, monitoring, troubleshooting, CI/CD, containerization, and disaster recovery. The role requires strong 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 environments 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 performance and workflow issues.Work within Agile methodologies and adapt to evolving Azure cloud technologies. Mandatory / Required Skills Azure Data Factory AdministrationAzure Synapse Analytics AdministrationAzure Databricks AdministrationCosmos DB AdministrationAzure Key VaultAzure Function Apps & Logic AppsAzure Data Lake Storage Gen2 (ADLS Gen2)Azure Event HubAzure Monitor & Log AnalyticsAzure Resource Provisioning & Capacity PlanningAzure DevOps & CI/CD PipelinesPython / Shell ScriptingAzure Resource Monitoring & TroubleshootingAzure Kubernetes Service (AKS)Docker & Containerized ApplicationsTerraform / ARM TemplatesVNet & Subnet ProvisioningService Endpoints & Private EndpointsBackup & Disaster Recovery using IaCJenkins Ideal Candidate The ideal candidate should be a hands-on Azure Data Platform professional with strong expertise in: Azure administrationData engineering platformsInfrastructure automationMonitoring and observabilityProduction troubleshootingCI/CDContainerizationDisaster recoveryInfrastructure as Code .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.