Role OverviewWe are looking for an experienced Azure Data Engineer to design, build, and maintain scalable data solutions on the Microsoft Azure platform. The ideal candidate will have strong expertise in Python, Databricks, PySpark, and Azure data services, with experience building modern data pipelines and serverless architectures.Key ResponsibilitiesDesign and develop data pipelines and data engineering solutions on Azure.Work with Databricks and PySpark for both batch and structured streaming data processing.Manage and process data using SQL and NoSQL databases.Build scalable solutions using Azure ADLS, Event Hub, Event Grid, and Azure SQL Data Warehouse.Develop and maintain serverless architectures using Azure Functions.Implement infrastructure as code using Terraform.Ensure performance, scalability, and reliability of data platforms.Required SkillsMicrosoft Azure Data EngineeringPythonSQL and NoSQL databasesDatabricksPySpark (Batch & Structured Streaming)Azure Data Lake Storage (ADLS)Azure Event HubAzure Event GridAzure SQL Data WarehouseAzure FunctionsServerless ArchitectureTerraform (strong theoretical knowledge; practical experience preferred)Good to HaveARM TemplatesAzure Data FactoryKubernetesGoogle Cloud Platform (GCP)Knowledge of Machine Learning and AI conceptsCompetenciesMicrosoft AzurePython