Azure Data Engineer

Job Description

Job Summary:
 

• Responsible for designing, building, and deploying scalable and reliable data solutions on the Microsoft Azure, with focus on Azure Data Analytics services. 
   
• The ideal candidate should have extensive experience with Azure data technologies such as Azure Data Factory, Azure SQL Database, Azure Data Lake Storage, Azure Synapse Analytics, Azure Data bricks.
   
• The candidate should also have a deep understanding of data modeling, data warehousing, ETL processes, and data analytics. 
   
• The Azure Data Analytics Engineer will work closely on understanding requirements & design data solutions meeting the needs.
   

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Key Responsibilities:
 

• Design, build and deploy data analytics solutions on the Azure cloud platform.
   
• Develop ETL/ELT processes using Azure Data Factory, Azure Data bricks, Azure Synapse with focus on DataIngestion into lake.
   
• Create and maintain data models and data warehouses on Azure SQL Database and Azure Synapse Analytics.
   
• Develop and deploy data analytics and visualization solutions using Azure Synapse Analytics, Power BI, or similar tools.
   
• Optimize data solutions for performance, scalability, and reliability.
   
• Implement data security and privacy controls to protect data on the Azure platform.
   
• Collaborating with stakeholders to understand their data analytics requirements and design solutions that meet their needs.
  
   

Requirements

• 5-7 Years of experience in Azure Data Engineering
• Extensive experience with Azure data technologies such as Azure Data Factory, Azure SQL Database, Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks.
   
• Deep understanding of data modeling, data warehousing, ETL processes, and data analytics.
   
• Familiarity with data security and privacy controls on the Azure platform.
   
• Programming languages i.,e Python(PySpark), SQL, and Scala.
   

Preferred Qualifications:
 

• Certifications such as Azure Data Engineer/Azure Solutions Architect.
   
• Knowledge with/of data visualization tools such as Power BI, Tableau, or similar.
   
• Experience with latest technologies for data i.e., Kafka