Position Details
About this role
This role involves designing and developing data pipelines and models within Morgan Stanley's Data & Analytics Engineering team, supporting business insights and AI initiatives.
Key Responsibilities
- Develop data pipelines
- Build data models
- Support AI projects
- Optimize data workflows
- Collaborate with business teams
Technical Overview
Focus on data warehousing, ETL, Hadoop, data modeling, and AI/machine learning applications, with a strong emphasis on data accuracy and accessibility.
Ideal Candidate
The ideal candidate is a data engineer with experience in data warehousing, ETL development, and big data tools like Hadoop and Informatica, capable of analyzing complex data sets and supporting AI and machine learning initiatives.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with data warehousing or ETL, No knowledge of Hadoop or Informatica, Inability to analyze business data, Poor communication skills
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile