SQL Database Engineer
Data Engineering Role:
We are seeking an experienced Data Engineer SQL to join our team. As a key member, you will develop advanced SQL solutions using MS SQL Server and build data warehouse/data lake solutions that integrate multiple disparate sources. Your expertise in working in Agile/Scrum environments and building data lakes in the AWS environment will be valuable assets to our team. Additionally, you will utilize your knowledge of Lake Formation and third-party tools to create data pipelines and provide design decisions around data warehouse solutions. Your ability to ensure high-quality documentation of data solution architecture will be essential in maintaining our data engineering standards.
Your Key Responsibilities:
• Design and develop advanced SQL solutions using MS SQL Server
• Build data warehouse/data lake solutions integrating multiple sources
• Collaborate with cross-functional teams in Agile/Scrum environment
• Develop data lakes in AWS environment
• Create data pipelines using Lake Formation or third-party tools
• Develop web applications using .NET stack (C#, MVC)
• Provide design decisions for data warehouse solutions
• Maintain high-quality documentation of data solution architecture
Apply Now
We are seeking an experienced Data Engineer SQL to join our team. As a key member, you will develop advanced SQL solutions using MS SQL Server and build data warehouse/data lake solutions that integrate multiple disparate sources. Your expertise in working in Agile/Scrum environments and building data lakes in the AWS environment will be valuable assets to our team. Additionally, you will utilize your knowledge of Lake Formation and third-party tools to create data pipelines and provide design decisions around data warehouse solutions. Your ability to ensure high-quality documentation of data solution architecture will be essential in maintaining our data engineering standards.
Your Key Responsibilities:
• Design and develop advanced SQL solutions using MS SQL Server
• Build data warehouse/data lake solutions integrating multiple sources
• Collaborate with cross-functional teams in Agile/Scrum environment
• Develop data lakes in AWS environment
• Create data pipelines using Lake Formation or third-party tools
• Develop web applications using .NET stack (C#, MVC)
• Provide design decisions for data warehouse solutions
• Maintain high-quality documentation of data solution architecture