Data Architect designing scalable data architectures for analytics and reporting at XTEL. Collaborating with international teams to ensure data quality and infrastructure improvements.
About the role
- Intern Data Engineer at an employee-owned company disrupting traditional printing. Design and implement data pipelines for business insights and operational efficiency.
Responsibilities
- Design, develop, and implement data pipelines that power business insights and operational efficiency across the organization.
- Gain hands-on experience working with cloud technologies, large data sets, and modern data tools.
- Collaborate with architects, data analysts, engineers, and business stakeholders to gather requirements, understand existing systems, and build reliable, scalable data solutions.
- Assist in creating data sets, performing data analysis, and building dashboards using modern BI tools.
Requirements
- Pursuing an undergraduate degree in Computer Science, Management Information Systems (MIS), Data Science, or another engineering discipline.
- Completed sophomore year of undergraduate studies.
- Completed at least one computer programming course and understand fundamental programming concepts.
- Basic or previous understanding of Python (strongly preferred).
- Understand relational databases and SQL; familiarity with PostgreSQL is a plus.
- Interest in data engineering, data analytics, and cloud technologies.
- Strong analytical and problem-solving skills with high attention to detail and accuracy.
- Effective communication skills both verbally and in writing.
- Collaborative and enjoy working with cross-functional teams.
- Proactive and resourceful in identifying, analyzing, and solving data-related challenges.
- Positive attitude, passion for learning, and willingness to take on new challenges.
- Familiar with or open to learning data visualization tools (such as QuickSight or Tableau).
- Basic understanding of cloud computing concepts, especially AWS (preferred).
Benefits
- Paid internship
- On-site presence required for hybrid work
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