Senior Azure Data Engineer

 Published 18 days ago
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  • Experience in designing and hands-on development of data pipelines, ETL processes, and data integration solutions in Azure. 
  • Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required. 
  • Implement data storage and management strategies using Azure Data Lake Storage, Azure SQL Database, and other Azure data services. 
  • Optimize data models and queries for performance and scalability. 
  • Collaborate with data scientists and business analysts to understand data requirements and implement solutions for data exploration, analysis, and visualization. 
  • Ensure data security and compliance with data privacy regulations. 
  • Perform data profiling, cleansing, and transformation activities. 
  • Monitor and troubleshoot data pipelines and resolve data quality issues. 
  • Stay up to date with the latest trends and technologies in Azure data engineering. 



  • Experience in data engineering and working with Azure data services. 
  • Strong proficiency in Azure Data Factory, Azure Data Lake Storage, and Azure SQL Database. 
  • Experience with data integration techniques and technologies, such as ETL/ELT processes, data pipelines, and data orchestration. 
  • In-depth knowledge of SQL, data modeling, and data warehousing concepts. 
  • Experience with programming languages such as Python. 
  • Familiarity with cloud data architecture principles and best practices. 
  • Strong problem-solving and analytical skills. 
  • Excellent communication and collaboration abilities. 
  • Knowledge of Microsoft BI Stack (SSRS/SSAS (Tabular with DAX & OLAP with MDX) SSIS) is a plus. 
  • Azure certifications (e.g., DP-200, DP-201, DP-203) are a plus. 

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