The Data Engineering Intern (Mergers & Acquisitions) is responsible for the development and implementation of data pipeline solutions to support the organization’s reporting, analytics, and other data needs. The Data Engineering Intern (M&A) is also responsible for analyzing existing data pipelines leveraged during M&A integration process and developing recommendations for improvement.
Requirements
- Proven ability to model data for reporting and analytics needs
- Proven ability to analyze and understand existing processes and code
- SQL
- Oracle, MySQL, other relational databases
- Python
- AWS (ERM, Lambda, IAM, S3)
- Linux
Responsibilities
- Design and build large scale datasets for a wide range of consumer needs
- Build, test and implement highly efficient data pipelines using a variety of technologies
- Ensure consistent use of standard data structures
- Analyze new data sources to understand quality, availability and content
- Write technical design documentation
- Create and executes unit tests
- Supports QA team during testing
Other
- Currently pursuing a Bachelor’s Degree or Master’s Degree in Computer Science, Engineering, Data Science, Information Systems/Science or related area of study
- Must be enrolled in school during internship
- Typically, students currently between their Junior and Senior years or between their 1st and 2nd years of graduate school will be considered for internships
- Works and communicates effectively with all levels of management
- Excellent written, verbal, and interpersonal skills
