Description

You will design and develop data infrastructure within Microsoft Azure to support ingestion, ETL, warehousing, and analysis.

This role is on-site.

Responsibilities

• Design and implement data solutions using Microsoft SQL Server and Azure tools including SSMS, SSRS, SSIS, and Azure Data Factory.
• Build distributed computing environments in Azure to integrate machine learning and AI tools.
• Perform data modeling to define requirements for databases and data warehouses.
• Manage diverse data formats including SQL, NoSQL, file storage, and blob storage.
• Code, test, debug, and document data infrastructure construction and remediation.

Required Skills

• Minimum seven years of experience in database administration, data science, data engineering, or cloud-based data solution engineering.
• Expert knowledge of SQL, including stored procedures, triggers, and indexing.
• Hands-on experience with Microsoft Azure, ETL, and data warehousing.
• Proficiency with Microsoft SQL Server, SSMS, SSRS, and SSIS.
• Experience with data analysis, Python, and Tableau.
• Proven ability in performance tuning, configuration, and data modeling.
• Experience managing both production and non-production environments.

Preferred Skills

• Experience in Healthcare or Mental Health environments.
• Proficiency in R programming.
• Familiarity with Power BI or Cognos.

Key Skills

Education

Any Graduate