Sr. Azure Data Platform Engineer

Job Description

Role Title: Sr. Azure Data Platform Engineer Location: India 1 remote role and 5 WFO Noida location candidates need to have L2 and L3 Support experience with the below) We are seeking an Azure Data Platform Engineer with a strong focus on Administration and hands-on experience in Azure platform engineering services. Ideal candidates should have expertise in administering services such as: Azure Key Vault Function App & Logic App Event Hub App Services Azure Data Factory (Administration) Azure Monitor & Log Analytics Azure Databricks (Administration) ETL processes Cosmos DB (Administration) Azure DevOps & CI/CD pipelines Azure Synapse Analytics (Administration) Python / Shell scripting Azure Data Lake Storage (ADLS) Azure Kubernetes Service (AKS) Additional knowledge of Tableau and Power BI would be a plus. Also, candidates should have hands-on experience managing and ensuring the stability, security, and performance of these platforms, with a focus on automation, monitoring, and incident management. Proficient in distributed system architectures and Azure Data Engineering services like Event Hub, Data Factory, ADLS Gen2, Cosmos DB, Synapse, Databricks, APIM, Function App , Logic App, and App Services Implement, and manage infrastructure using IaC tools such as Azure Resource Manager (ARM) templates and Terraform. Manage containerized applications using Docker and orchestrate them with Azure Kubernetes Service (AKS). Set up and manage monitoring, logging, and alerting systems using Azure Monitor, Log Analytics, and Application Insights. Implement disaster recovery (DR) strategies, backups, and failover mechanisms for critical workloads. Automate infrastructure provisioning, scaling, and management for high availability and efficiency. Experienced in managing and maintaining clusters across Development, Test, Preproduction, and Production environments on Azure. Skilled in defining, scheduling, and monitoring job flows, with proactive alert setup. Adept at troubleshooting failed jobs in azure tools like Databricks and Data Factory, performing root cause analysis, and applying corrective measures. Hands-on experience with distributed streaming tools like Event Hub. Expertise in designing and managing backup and disaster recovery solutions using Infrastructure as Code (IaC) with Terraform. Strong experience in automating processes using Python, shell scripting, and working with Jenkins and Azure DevOps. Proficient in designing and maintaining Azure CI/CD pipelines for seamless code integration, testing, and deployment. Experienced in monitoring and troubleshooting VM resources such as memory, CPU, OS, storage, and network. Skilled at monitoring applications and advising developers on improving job and workflow performance. Capable of reviewing and resolving log file issues for system and application components. Adaptable to evolving technologies, with a strong sense of responsibility and accomplishment. Knowledgeable in agile methodologies for software delivery. 5-15 years of experience with Azure and cloud platforms, leveraging cloud-native tools to build, manage, and optimize secure, scalable solutions.