Milliman – Trainee Data Solutions Engineer

Job Description

Milliman is offering an exciting opportunity for a Trainee Data Solutions Engineer (Intern) to join its on-site team in Gurgaon. This internship is designed for graduate-level candidates who are passionate about data engineering, analytics, and emerging AI technologies. As part of a globally distributed team, you will gain hands-on exposure to modern data platforms such as Databricks, Microsoft Azure, SQL, and PySpark. The role focuses on building scalable, efficient, and reliable data solutions that support business decision-making and advanced analytics initiatives. It is an ideal launchpad for aspiring data engineers looking to build strong foundations in cloud-based data engineering environments.

During this internship, you will contribute to real-world data engineering workflows, learning how to design, optimize, and maintain data pipelines. You will also gain exposure to AI and machine learning integration within data platforms, understanding how advanced analytics models are embedded into enterprise systems. Working under supervision initially, you will gradually take ownership of tasks as your technical confidence grows. This position emphasizes collaboration, communication, and continuous learning, enabling you to strengthen both technical expertise and business understanding in a professional consulting environment.

Roles & Responsibilities

1. Assist in designing and maintaining scalable data pipelines using SQL, PySpark, and Databricks within cloud-based environments.

2. Support the development and optimization of data transformation processes to ensure data accuracy, reliability, and performance.

3. Collaborate with senior data engineers to implement solutions on Microsoft Azure and related DevOps platforms.

4. Participate in data validation, cleansing, and quality assurance activities to maintain high data integrity standards.

5. Contribute to AI and machine learning integration efforts by supporting the deployment of analytical models within data workflows.

6. Troubleshoot and resolve data processing issues by analyzing logs, performance metrics, and system outputs.

7. Document data engineering processes, workflows, and technical configurations for knowledge sharing and future reference.

8. Engage in team discussions, training sessions, and knowledge-sharing forums to continuously improve technical capabilities.

9. Align assigned tasks with organizational objectives, ensuring contributions support broader strategic data initiatives.

10. Gradually take ownership of assigned modules as experience grows, demonstrating increasing autonomy and accountability.

Requirements & Eligibility

1. BE, B.Tech, BCA, or MCA degree with little to no prior professional experience, preferably in Computer Science, IT, or related fields.

2. Foundational knowledge of SQL, including writing queries, joins, aggregations, and basic performance optimization techniques.

3. Basic understanding of Python programming, including familiarity with PySpark and Object-Oriented Programming (OOP) concepts.

4. Awareness of data engineering concepts such as ETL pipelines, data transformation, storage systems, and cloud-based processing.

5. Strong analytical and problem-solving abilities with the capability to troubleshoot and optimize data workflows.

6. Familiarity with Microsoft Azure or other cloud platforms is advantageous but not mandatory.

7. Exposure to AI or machine learning projects, including integrating ML models into data pipelines, will provide a competitive edge.

8. Excellent communication skills and the ability to collaborate effectively within distributed global teams.

9. Strong commitment to learning, adaptability, and willingness to explore emerging data engineering technologies.

10. Ability to manage tasks under supervision initially and progressively demonstrate independence and ownership.

Expected Salary

For internship roles like Trainee Data Solutions Engineer in Gurgaon, stipends typically range between ₹15,000 to ₹35,000 per month, depending on technical proficiency and project exposure. In some cases, high-performing interns may receive pre-placement offers with competitive full-time packages upon successful completion of the internship. Compensation structures may vary based on academic background and technical skills in SQL, PySpark, and cloud technologies.

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