Azure Data Engineer

Job Description: An Azure Data Engineer is responsible for designing, implementing, and maintaining pipelines and ETL/ ELT flow solutions on the Azure cloud platform. This role requires a strong understanding of migration database technologies and the ability to deploy and manage database solutions in the Azure cloud environment. Key Skills: Min. 3+ years of Experience with data modeling, data warehousing, and building ETL pipelines. Must have a firm knowledge of SQL, NoSQL, SSIS SSRS, and ETL/ELT Concepts. Should have hands-on experience in Databricks, ADF (Azure Data Factory), ADLS, Cosmos DB. Excel in the design, creation, and management of very large datasets Detailed knowledge of cloud-based data warehouses, architecture, infrastructure components, ETL, and reporting analytics tools and environments. Skilled with writing, tuning, and troubleshooting SQL queries Experience with Big Data technologies such as Data storage, Data mining, Data analytics, and Data visualization. Should be familiar with programming and should be able to write and debug the code in any of the programming languages like Node, Python, C#, .Net, Java. Technical Expertise and Familiarity: Cloud Technologies: Azure (ADF, ADB, Logic Apps, Azure SQL database, Azure Key Vaults, ADLS, Synapse)Database: CosmosDB, Document DB IDEs: Visual Studio, VS Code, MS SQL ServerData Modelling,ELT, ETL Methodology Job Description: An Azure Data Engineer is responsible for designing, implementing, and maintaining pipelines and ETL/ ELT flow solutions on the Azure cloud platform. This role requires a strong understanding of migration database technologies and the ability to deploy and manage database solutions in the Azure cloud environment. Key Skills: Min. 3+ years of Experience with data modeling, data warehousing, and building ETL pipelines. Must have a firm knowledge of SQL, NoSQL, SSIS SSRS, and ETL/ELT Concepts. Should have hands-on experience in Databricks, ADF (Azure Data Factory), ADLS, Cosmos DB. Excel in the design, creation, and management of very large datasets Detailed knowledge of cloud-based data warehouses, architecture, infrastructure components, ETL, and reporting analytics tools and environments. Skilled with writing, tuning, and troubleshooting SQL queries Experience with Big Data technologies such as Data storage, Data mining, Data analytics, and Data visualization. Should be familiar with programming and should be able to write and debug the code in any of the programming languages like Node, Python, C#, .Net, Java. Technical Expertise and Familiarity: Cloud Technologies: Azure (ADF, ADB, Logic Apps, Azure SQL database, Azure Key Vaults, ADLS, Synapse)Database: CosmosDB, Document DB IDEs: Visual Studio, VS Code, MS SQL ServerData Modelling,ELT, ETL Methodology