Milliman is hiring Trainee Data Solutions Engineers for its New Delhi and Gurgaon offices. This full-time, on-site opportunity is ideal for fresh graduates or candidates with minimal experience who are looking to build a strong foundation in data engineering, cloud technologies, and AI integration.
This role offers hands-on exposure to industry-leading tools such as Databricks, SQL, PySpark, Microsoft Azure, and Azure DevOps, while also providing insight into how Artificial Intelligence (AI) technologies are integrated within large-scale data workflows.
If you are passionate about data, analytics, and modern cloud platforms, this opportunity provides the right environment to grow under the guidance of experienced professionals in a global consulting organization.
About Milliman
Milliman is a global consulting firm known for expertise in risk management, analytics, actuarial services, and data-driven solutions. The company works with clients across healthcare, insurance, financial services, and other industries, helping them make informed decisions through advanced analytics and technology.
At Milliman, innovation, collaboration, and professional development are central to its culture. Employees are encouraged to continuously upgrade their skills while contributing to meaningful, high-impact data projects.
Role Overview
As a Trainee Data Solutions Engineer, you will join a dynamic data engineering team and gain exposure to real-world, enterprise-scale data solutions.
You will:
- Learn and apply data engineering best practices.
- Work with technologies such as Databricks, SQL, PySpark, and Microsoft Azure.
- Gain exposure to AI and machine learning integration within data pipelines.
- Contribute to the design and implementation of scalable data workflows.
- Collaborate with global teams across different time zones.
- Gradually move from working under supervision to handling responsibilities independently.
The internship-level expectations focus on both technical growth and organizational alignment, ensuring that trainees understand business objectives while building technical expertise.
Key Responsibilities
- Develop familiarity with the organization’s mission and align technical contributions accordingly.
- Participate actively in training sessions and professional development initiatives.
- Work on hands-on projects using Databricks, PySpark, SQL, and Azure DevOps.
- Troubleshoot and optimize data engineering processes.
- Collaborate effectively within distributed global teams.
- Gain practical exposure to AI technologies integrated into data engineering workflows.
- Demonstrate increasing autonomy and accountability over time.
This role provides structured learning while allowing candidates to contribute meaningfully to live data engineering initiatives.
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Skills Required
Technical Skills:
- Foundational knowledge of SQL and Python (including PySpark).
- Understanding of Object-Oriented Programming (OOP) concepts.
- Basic knowledge of data engineering principles.
- Analytical and problem-solving skills.
- Familiarity with Azure or cloud platforms (preferred).
Preferred Advantage:
- Hands-on experience with AI/ML projects.
- Exposure to integrating machine learning models into data pipelines.
- Familiarity with AI frameworks or analytics platforms.
Soft Skills:
- Strong communication skills.
- Ability to collaborate in diverse, global teams.
- Eagerness to learn and adapt to new technologies.
Educational Qualification
- BE / B.Tech / BCA / MCA
- Less or no prior experience required
This makes the opportunity ideal for fresh graduates seeking entry into the data engineering and AI domain.
Who Can Apply (Eligibility)
| Criteria | Details |
|---|---|
| Job Type | Full-Time |
| Location | New Delhi & Gurgaon (On-site) |
| Experience | Fresher / Less Experience |
| Education | BE/B.Tech/BCA/MCA |
| Core Skills | SQL, Python (PySpark), OOP, Data Engineering Basics |
Salary / Compensation
The Milliman Trainee Data Solutions Engineer role offers a competitive entry-level salary aligned with industry standards.
💰 Estimated ₹5 LPA – ₹8 LPA (based on skills and interview performance)
Compensation may vary depending on technical expertise, AI exposure, and academic background.
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Why Join Milliman?
- Gain hands-on experience with Databricks and Azure cloud technologies.
- Exposure to AI and machine learning integration within enterprise data systems.
- Work with experienced global data professionals.
- Structured learning environment with increasing autonomy.
- Opportunity to build a strong foundation in modern data engineering.
This role is ideal for graduates who want to transition into data engineering while staying aligned with emerging technologies like AI and cloud analytics.
How to Apply
Interested candidates can apply now by clicking the button below to submit your application. Ensure your resume highlights your knowledge of SQL, Python, PySpark, AI/ML projects, and any cloud-based academic or personal projects to strengthen your profile.
Disclaimer
This job information is collected from official and publicly available sources. We do not charge any fees for job applications, do not guarantee recruitment, and do not take responsibility for any loss arising from reliance on this information.
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