Morgan Stanley is looking to solve data management problems by designing, structuring, and maintaining data to ensure accuracy and accessibility, and to support business needs
Requirements
- 1+ years of experience with Snowflake
- 1+ years of experience in AWS (or similar cloud technologies) cloud stack including S3, IAM, Athena, SNS, SQS, and EMR
- 2+ years of SQL Server and experience with tools such as SSIS and SSRS
- Programming experience in Python and Linux bash
- Demonstrated experience with agile or other rapid application development methods
- Demonstrated experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and data infrastructures
- Solid understanding of data modeling and understanding of different data structures and their benefits and limitations under particular use cases
Responsibilities
- Works with team members to design and implement data solutions in alignment with the project schedule
- Codes, tests, and documents new or modified data systems to create robust and scalable data platform for our applications
- Expands and grows data platform capabilities to solve new data problems and challenges
- Creates data flow diagrams for all of business systems
- Design of the logical model and implements the physical database to support business needs
- Conducts logical and physical database design
- Develops, tests, implements, and maintains database management applications
Other
- Bachelor's in Computer Science, Mathematics, or Engineering or equivalent work experience
- 2+ years of data engineering experience
- Ability to collaborate and partner across a diverse team
- Effective communication skills with business user, stakeholders and other developers
- Ability to create strong work ethics and committed teams, foster open dialogue, and promote individual and team success
