Azure Data Engineer

Azure Data Engineer

Posted Today by AIT Global, Inc.

Negotiable
Undetermined
Remote
Remote

Summary: The Azure Data Engineer role focuses on leveraging Azure SQL Server environments to design and implement data solutions. The position requires strong expertise in ETL/ELT processes and advanced SQL skills for optimizing data performance. The engineer will also work with various Azure data services to enhance data management and analytics capabilities. This is a remote position aimed at candidates with a solid background in data engineering and analytics.

Key Responsibilities:

  • Design and implement data warehouses
  • Work with Azure SQL Server environments
  • Utilize ETL/ELT tools and processes
  • Optimize SQL queries for performance
  • Leverage Azure data services such as Azure Data Factory and Azure Synapse
  • Apply data modeling techniques and best practices
  • Analyze and solve data-related problems

Key Skills:

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field
  • Proven experience working in Azure SQL Server environments
  • Strong hands-on experience with ETL/ELT tools and processes
  • Advanced SQL skills, including query optimization and performance tuning
  • Experience designing and implementing data warehouses
  • Familiarity with Azure data services (e.g., Azure Data Factory, Azure Synapse, Azure Data Lake)
  • Solid understanding of data modeling techniques and best practices
  • Strong analytical and problem-solving skills

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:
Job Title: Azure Data Engineer
Location: Remote
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field
  • Proven experience working in Azure SQL Server environments
  • Strong hands-on experience with ETL/ELT tools and processes
  • Advanced SQL skills, including query optimization and performance tuning
  • Experience designing and implementing data warehouses
  • Familiarity with Azure data services (e.g., Azure Data Factory, Azure Synapse, Azure Data Lake)
  • Solid understanding of data modeling techniques and best practices
  • Strong analytical and problem-solving skills