About Milliman
Milliman is among the world's largest providers of actuarial and related products and services. Our mission is to serve our clients to protect the health and financial well-being of people everywhere. Founded in 1947, Milliman is an independent firm with offices in major cities around the globe. We are owned and managed by our principals—senior consultants whose selection is based on their technical, professional, and business achievements. Milliman serves the full spectrum of business, financial, government, union, education, and nonprofit organizations. In addition to our consulting actuaries, Milliman's body of professionals includes numerous other specialists, ranging from clinicians to economists.

About Milliman’s MedInsight Team
Leading with our core values of Quality, Integrity, and Opportunity, MedInsight is the healthcare industry’s most trusted solution for healthcare intelligence. Our company’s purpose is to empower easy, data-driven decision-making on important healthcare questions. Through our products, education, and services, MedInsight is making an impact on healthcare by helping to drive better outcomes for patients while reducing waste. Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for healthcare cost and care management.

Job Overview
We are looking for a motivated and enthusiastic Graduate Level Data Engineering Intern to join our dynamic team. In this role, you will have the opportunity to gain hands-on experience working with cutting-edge data engineering technologies, including Databricks, SQL, PySpark, and Azure. This position is ideal for individuals eager to learn, develop technical skills, and contribute to the development of large-scale data solutions.

Roles and Responsibilities

Organizational Understanding: Gain a strong understanding of the organization’s mission, values, and goals, aligning your work with the team’s overall objectives. Learning Attitude: Demonstrate a proactive learning attitude throughout your internship. Engage with training programs and projects, and continuously improve your technical knowledge. Technology Familiarity: Learn about the various technologies and tools used within the data engineering team, including Databricks, SQL, PySpark, and Azure DevOps. Progressive Independence: Initially, you will work under general guidance, with the opportunity to gradually take on more responsibility and handle tasks independently. Collaborative Environment: Work effectively as part of a distributed global team, collaborating with colleagues across different time zones and locations.

Key Requirements:
Must have :

T-SQL Expertise: Proficiency in T-SQL (highest priority) to manage and manipulate large datasets efficiently. Programming Knowledge: Strong skills in Python and familiarity Object-Oriented Programming (OOP) concepts. Technical Skills: Knowledge of .NET, Powershell Scripting, Version Control systems will be an added advantage. Cloud Exposure: Familiarity with cloud platforms such as Azure is a plus, especially in data engineering context. Problem-Solving: Strong analytical and problem-solving skills with the ability to troubleshoot and optimize data engineering processes. Technical Foundation: A basic understanding of data engineering concepts, with a willingness to learn and apply new technologies.

Good to Have:

Experience with Data Solutions: Prior exposure to large-scale data implementations, especially in cloud environments, is a plus.

Educational Requirements:

BE/B.Tech/ BCA/ MCA with less or no experience.

What We Offer:

Hands-on Experience: Work on real-world projects that use cutting-edge technologies like Databricks, PySpark, and Azure. Mentorship & Guidance: Receive mentorship from experienced professionals to help you grow in your data engineering career. Global Collaboration: Join a global team and gain experience working in a distributed environment. Learning Opportunities: Access to various training and development programs to enhance your skills and knowledge in the field of data engineering.