State Street's Global Technology Services (GTS) organization is looking to solve business and technical problems by driving the company's digital transformation and expanding business capabilities using industry best practices and advanced technologies. The Data Engineer intern will contribute to delivering data and insights to clients.
Requirements
- Data Management
- Data Analytics
- Python (Programming Language)
- Perl Programming
- Data Engineering
- Apache Spark
- Cloud Computing
Responsibilities
- Design, develop, and maintain automated test scripts to support regression testing and maximize test coverage.
- Document testing requirements for AWS-based applications, Databricks, and ETL backend systems using Java and Python.
- Contribute to application development, integration, and testing to meet business requirements.
- Execute performance testing to assess system scalability, reliability, and efficiency.
- Translate business requirements into functional and technical specifications; apply skills in data analysis, mapping, and visualization.
- Provide post-production support and maintenance for production systems.
- Develop secure applications and services for the Chief Data Office using AWS, Databricks, and Airflow, deployed to cloud environments.
Other
- Final-year undergraduate or graduate students pursuing degrees in Data Science, Computer Science, Software Engineering, or related technical disciplines who are interested in converting to a full-time role post-graduation
- Enthusiastic about building a long-term career in a dynamic, technology-driven organization
- Effective communicators with the ability to collaborate in a team-oriented environment
- Open to feedback and committed to continuous learning and improvement
- Motivated by real-world problem solving and eager to contribute innovative ideas
