Senior Azure Data Engineer/Lead with SSIS and Healthcare domain

About this kind of role

What a Senior Azure Data Engineer/Lead with SSIS and Healthcare domain usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data pipelines and data warehousing solutions using Microsoft Azure cloud services. This role involves extracting, transforming, and loading (ETL) data from various sources, ensuring data quality and reliability. Senior data engineers often lead projects, mentor junior team members, and collaborate with data scientists and business stakeholders. They also focus on optimizing data infrastructure for performance and scalability.

Tools and skills: Proficiency in Azure Data Factory, Azure Synapse Analytics, SQL Server Integration Services (SSIS), T-SQL, data modeling, and data warehousing principles is generally required, alongside strong analytical and problem-solving abilities.

Good fit for: Individuals with a strong background in data engineering, experience with cloud platforms, and a desire to work with large datasets and complex data architectures often thrive in this role.