Milliman Off Campus Hiring - Trainee Data Engineer - MedInsight (Dev)
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Milliman Off Campus Hiring – Trainee Data Engineer – MedInsight (Dev)

Milliman Off Campus Hiring: A great opportunity for a driven person looking to establish an exciting career in the field of data engineering. This Trainee Data Engineer internship with MedInsight (Dev) is designed to build analytical and technical abilities through exposure to the real-world data project as well as contemporary data platforms. This role allows hands-on learning using cutting-edge tools and contributes to the development of innovative engineering solutions.

Role Overview

  • Role: Trainee Data Engineer – MedInsight (Dev)
  • Job Category: Internship
  • Requisition Number: TRAIN009924
  • Location: Remote/Hybrid

Key Responsibilities

  • Get a better understanding of the company’s mission, goals, and values.
  • Integrate performance into business goals and team results.
  • Engage in active workshops and improve your business and technical skills.
  • Under general supervision at first, and gradually work on tasks by yourself.
  • Work effectively in a global team environment, with the communication is clear across time zones.
  • Get familiar with incorporating AI technologies into the processes of data engineering.
  • Develop technical proficiency, develop technical expertise in Databricks, SQL, PySpark and Azure DevOps by utilising learning through projects.

Required Skills

  • The foundational understanding that includes SQLPython and Object-Oriented Programming (OOP).
  • Acquaintance with Python and Azure Data tools.
  • Strong analytical, problem-solving and troubleshooting capabilities.
  • A willingness to be able to absorb and adapt to new technologies in data.
  • Teamwork and communication skills.
  • Experiential or prior exposure in an AI/ML system within data pipelines, or familiarity with AI frameworks, can be an advantage.

Eligibility

  • Education: BE/B.Tech/BCA/MCA
  • Experience: Newcomers and those with little experience are preferred.

Learning Outcomes

  • Practical experience using modern software for data engineering as well as cloud-based environments.
  • Accurate technical skills, Improved technical proficiency in SQL, Python, and PySpark.
  • A thorough understanding of AI-driven analytics and data solutions.
  • Enhance collaboration skills by working within a multi-cultural, global team.
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