Data Solutions Engineer

Responsibilities

• Develop and maintain efficient ETL processes and workflows using Azure Data Factory and SSIS
• Create and manage data models that align with complex business requirements
• Integrate diverse data sources into a unified data repository
• Develop and optimize T-SQL queries for efficient data manipulation and retrieval
• Implement and manage large-scale data processing tasks using Azure Databricks
• Design and develop PowerBI reports to support business intelligence needs
• Troubleshoot and optimize performance issues across T-SQL scripts and Azure pipelines
• Collaborate with stakeholders to translate business needs into technical solutions

Requirements

• 3+ years of professional experience in Data Engineering
• Excellent T-SQL skills
• Hands-on experience with Azure Databricks, including Spark SQL and Scala or Python
• Strong understanding of Spark architecture and processing
• Proficiency with SSIS or Azure Data Factory
• Knowledge of PowerBI and Analytical services
• BE, B.Tech, BCA, MCA, or MS degree preferred (or 2+ years of additional relevant work experience)

Preferred Qualifications

• Experience with Azure DevOps, Azure Functions, or Git
• Proficiency in C# and Object-Oriented Programming (OOPS)
• Previous exposure to the Healthcare domain
• Strong problem-solving skills and a performance-oriented mindset

About the Company

Milliman's MedInsight practice assists healthcare organizations in evaluating and developing solutions to complex business problems. Our Health IT software team specializes in developing and selling advanced data warehousing solutions to support healthcare operations and technology.