Job Type: Full-time

Senior Azure Data EngineerExperience: 5–8 YearsLocation: Hyderabad (Onsite)Employment Type: Full-TimePosition OverviewWe are seeking a skilled Senior Azure Data Engineer with expertise in Azure cloud technologies, big data processing, ETL/ELT pipeline development, Azure DevOps, and enterprise system integrations. The ideal candidate should have hands-on experience with Azure Databricks, PySpark, Azure Data Factory, Synapse Analytics, APIs, SQL, Python, Power BI, and Azure DevOps to build scalable, secure, and automated data and analytics solutions.Required SkillsAzure Data Factory (ADF)Azure DatabricksApache Spark & PySparkAzure Synapse AnalyticsAzure Data Lake & Blob StoragePython & SQLREST & SOAP API IntegrationsSQL Query Optimization & Database ManagementETL/ELT Pipeline DevelopmentData Warehousing (Star & Snowflake Schema)Microsoft Power BISalesforce & NetSuite IntegrationsDelta Lake, Spark SQL, Databricks WorkflowsCI/CD & DevOps for Data PipelinesAzure DevOps (Repos, Pipelines, Boards,



Releases)CI/CD Pipeline Automation using Azure DevOpsGit Version Control & Branching StrategiesDeployment Automation & Release ManagementAgile MethodologiesCloud Security & Access ManagementNice to HaveKafka / Event HubReal-time Streaming PipelinesDell Boomi / MuleSoftData Governance & Security Best PracticesTerraform / ARM TemplatesAzure Monitor & Log AnalyticsKey ResponsibilitiesBuild scalable ETL/ELT pipelines on AzureDevelop big data solutions using Databricks & PySparkIntegrate enterprise systems via REST/SOAP APIsOptimize SQL queries and Spark workloadsBuild dashboards and analytics using Power BIDesign contemporary cloud data platforms and data warehousesImplement CI/CD pipelines using Azure DevOpsManage source control, deployments, and release automationCollaborate with DevOps and infrastructure teams for cloud deploymentsMonitor, troubleshoot, and optimize Azure data platform performance.

📌 Azure Data Engineer (Hyderabad)
🏢 Keylent
📍 Hyderabad