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
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