Azure Data Engineer New batch Dates & Timings

If you're aiming to become or improve as an Azure Data Engineer, here’s a practical roadmap tailored to the tools, skills, certifications, and responsibilities involved in real-world Azure-based data engineering roles. 🛠️ Core Responsibilities of an Azure Data Engineer: Build & manage data pipelines using Azure services. Handle structured and unstructured data from various sources. Implement ETL/ELT processes using Azure Data Factory or Synapse. Ensure data security, scalability, and performance. Integrate data for BI/AI/ML consumption. Work with Data Lakes, Data Warehouses, Databricks, Spark. 🧠 Key Skills & Tools 1. Azure Data Services Service Purpose Azure Data Factory (ADF) ETL/ELT pipelines, data movement Azure Synapse Analytics Data warehousing, big data queries Azure Data Lake Storage (ADLS) Large-scale file storage Azure SQL Database / Managed Instance RDBMS Azure Databricks Big data & analytics with Apache Spark Azure Event Hubs / IoT Hub / Service Bus Streaming ingestion Azure Stream Analytics Real-time analytics 2. Data Engineering Tools Apache Spark (especially via Databricks) SQL (for warehousing & transformation) Python / PySpark (data processing) Delta Lake (versioned data on ADLS/Databricks) 3. Languages & Querying SQL (T-SQL, Spark SQL) Python (for automation, data transformation) JSON, Parquet, Avro (file formats) PowerShell / Azure CLI (infra scripting) 4. Data Modeling & Integration Star/Snowflake schema Slowly Changing Dimensions (SCD) Data lineage & mapping Master Data Management (MDM) 📚 Recommended Certifications 🥇 Microsoft Certified: Azure Data Engineer Associate Exams: DP-203: Data Engineering on Microsoft Azure Skills Measured: Design/implement data storage Design/implement data processing Monitor & optimize data solutions Implement data security #AzureDataEngineering #AzureDataFactory #AzureSynapseAnalytics #AzureSQLDatabase #AzureDatabricks #AzureStreamAnalytics #AzureEventHubs #AzureIoTHub #AzureFunctions #AzureLogicApps #AzureStorage #AzureDataLake #AzureCosmosDB #AzureSearch #AzureMachineLearning #AzureDevOps #AzureArchitecture #BigDataEngineering #DataWarehouse #ETLProcess #DataPipeline #DataIntegration #DataTransformation #DataFlow #DataBricks #DataFactory #DataLakes #DataPlatform #DataEngineering #Pyspark #spark #Fabric #snowflake