Milliman is hiring Trainee Data Solutions Engineer
Milliman
About the MedInsight Team
MedInsight is Milliman’s healthcare analytics division, helping over 300 organizations drive better healthcare outcomes and reduce costs. Through industry-leading data platforms and insights, our mission is to empower smarter, data-driven healthcare decisions.
Role Overview
As a Trainee Data Solutions Engineer, you will support the team in building and maintaining data pipelines, data models, and analytics dashboards. You’ll get real-world exposure to SQL, Azure tools, and Power BI while working alongside experienced data professionals in a collaborative environment.
Key Responsibilities
- Assist in designing and maintaining ETL processes for integrating data from multiple sources
- Help build accurate and efficient data models that align with business goals
- Learn to work with structured and unstructured data to support centralized data repositories
- Write and optimize T-SQL queries for performance and reliability
- Support large-scale data processing using Azure Data Factory and Azure Databricks
- Monitor and troubleshoot data workflows and suggest basic optimizations
- Develop Power BI dashboards under the guidance of senior engineers
- Collaborate with stakeholders to gather requirements and contribute to data-driven strategies
Candidate Requirements
- Basic knowledge of SQL and relational database fundamentals
- Exposure to programming languages like Python or Scala
- Interest in cloud-based data tools, especially Azure services
- Strong analytical mindset with problem-solving capabilities
- Willingness to learn and adapt to new technologies
Educational Requirements:
- BE/B.Tech/BCA/MCA/MS in Computer Science, Information Technology, or a related field.
- Recent graduates or final-year students with relevant coursework/projects are encouraged to apply.
Why Join Milliman
- Real-World Projects: Work on impactful data projects using modern technologies
- Mentorship: Learn from industry professionals and expand your knowledge
- Global Team: Collaborate with experts across the globe
- Learning & Development: Access to training resources to build a successful career in data engineering
Technical Skills: SQL, Azure Data Factory, Azure Databricks, Power BI, Python, Scala, ETL, T-SQL, PySpark, Data Modeling, Data Integration
Education Requirements
Eligible Batch Years
