Azure Engineer

Mandatory Skills

• Strong experience in Microsoft Azure Cloud
  
• Hands-on experience with Azure Data Factory (ADF)
  
• Expert-level knowledge of SQL and T-SQL
  
• Strong experience with Azure SQL DB / Microsoft SQL Server
  
• Expert knowledge of ETL & ELT
  
• Experience with Data Warehousing and large-scale DW solutions
  
• Hands-on experience with Databricks and Dremio
  
• Experience with Real-Time Streaming
  
• Strong knowledge of Azure Data Stack / AWS Data Stack
  
• Hands-on experience with Azure Logic Apps, Azure Functions, Blob Storage, and Azure DevOps
  
• Experience developing ADF pipelines, including Data Movement, Data Flow, Stored Procedure, Custom Activity, Web Activity, Lookup, and Control Flow activities
  
• Strong knowledge of Stored Procedures and RDBMS
  
• Expert-level knowledge of Azure Key Vault
  
• Experience with Azure authentication, Entra ID, and cloud data security
  
• Experience with Python or C#
  
• Exposure to AI/ML and GenAI, such as Azure OpenAI or Gemini
  
• Strong understanding of Data Integration, Data Virtualization, Data Federation, and Database Design
  
• Good knowledge of Dimensional Modeling, Normalization, and Reporting Data Models
  
• Experience with Agile and DevOps methodologies
  

Good to Have

• Azure ADLS Gen2
  
• Azure Synapse Analytics
  
• Azure Database Migration Service
  
• Experience in legacy Data Warehouse to Cloud migration
  
• Knowledge of process and data modeling techniques
  
• Experience maintaining technical solution documentation and change-control records
  

Key Responsibilities

• Design and implement scalable Azure-based Data Warehouse and Data Engineering solutions.
  
• Develop and maintain ADF pipelines for data movement and transformation.
  
• Work with Azure SQL, SQL Server, Databricks, Dremio, and other data technologies.
  
• Support migration of legacy DW solutions to cloud platforms.
  
• Implement secure Azure solutions using Key Vault and Entra ID.
  
• Develop reporting and data solutions for applications hosted on Azure.
  
• Work with teams on data integration, data modeling, ETL/ELT, and cloud data architecture.
  
• Contribute to Agile and DevOps delivery practices.