Negotiable
Outside
Remote
USA
Summary: The Support Lead Data Engineer role involves designing, developing, and maintaining data processing pipelines primarily using Azure Data Factory. The position requires expertise in Azure cloud services and SQL Server, along with strong problem-solving and communication skills. The role is remote and classified as outside IR35, indicating a flexible working arrangement and independent contractor status. The ideal candidate will also have experience with API integration and Azure DevOps.
Key Responsibilities:
- Design, develop, and maintain robust data processing pipelines using Azure Data Factory.
- Implement secure data solutions utilizing Azure Key Vault.
- Manage and optimize SQL Server databases to ensure high performance and reliability.
- Develop, integrate, and maintain APIs for seamless application interaction.
- Leverage tools such as SQL Server Management Studio (SSMS) and Visual Studio Code for effective data management.
Key Skills:
- Strong expertise in Azure Data Factory, Azure Key Vault, and Azure cloud services.
- Proficient in SQL Server, Python, and API integration.
- Experience with Azure DevOps for collaboration and code versioning.
- Familiarity with Databricks and AI technologies is a strong advantage.
- Excellent problem-solving skills and the ability to work independently and in a team setting.
- Strong communication and collaboration skills.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Support Lead Data Engineer
Key Responsibilities:
Terraform expereince is must
- Design, develop, and maintain robust data processing pipelines using Azure Data Factory.
- Implement secure data solutions utilizing Azure Key Vault.
- Manage and optimize SQL Server databases to ensure high performance and reliability.
- Develop, integrate, and maintain APIs for seamless application interaction.
- Leverage tools such as SQL Server Management Studio (SSMS) and Visual Studio Code for effective data management.
Qualifications:
- Strong expertise in Azure Data Factory, Azure Key Vault, and Azure cloud services.
- Proficient in SQL Server, Python, and API integration.
- Experience with Azure DevOps for collaboration and code versioning.
- Familiarity with Databricks and AI technologies is a strong advantage.
- Excellent problem-solving skills and the ability to work independently and in a team setting.
- Strong communication and collaboration skills.