Quill, a part of the Staples family, is seeking an AI Data Engineering Intern to help build and optimize scalable data pipelines that support machine learning and analytics initiatives, ultimately contributing to data-driven decision-making and marketing efforts.
Requirements
- Familiarity with big data tools (e.g., Spark, Hive, Sqoop) and cloud platforms (AWS, Azure)
- Proficient in Python, SQL, and Unix/Linux scripting
- Understanding of dimensional modeling and data architecture principles
- Exposure to data visualization tools such as Power BI is a plus
- Knowledge of monitoring and data quality frameworks
- Ability to adapt quickly in a fast-paced environment
Responsibilities
- Assist in the development and maintenance of data pipelines using tools such as Spark, Hive, and SQL
- Support cloud-based data engineering tasks using AWS or Azure services
- Contribute to ETL processes, data modeling, and integration of structured and semi-structured data formats (e.g., JSON, CSV)
- Participate in the design and implementation of scalable data solutions for AI and machine learning projects
- Collaborate with technical and business stakeholders to support data-driven decision-making
- Apply problem-solving and analytical skills to troubleshoot data issues and optimize performance
- Document processes and contribute to knowledge-sharing within the team
Other
- Collaborative – able to build partnerships and work collaboratively with others to meet shared objectives
- Customer Focused – able to identify and understand internal or external customer needs and interests and deliver customer-centric solutions
- Inclusive – dedicated to fostering an inclusive environment consisting of diverse individuals from varying backgrounds and cultures
- Innovative – develop new insights; question conventional approaches; encourage new ideas; design and implement new solutions
- Strong communication skills and a collaborative mindset
- Passion for learning new technologies and solving complex data challenges
