Data Engineering Intern
Skills
Azure Data FactoryComputer ScienceDevopsWarehouse OperationsConsumer TextilesContinuous ImprovementData Warehousing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Currently pursuing a Bachelor's or Master's degree in Computer Science Data Engineering Data Science Information Systems or a related field
- Strong foundational knowledge of SQL and experience querying relational databases
- Proficiency in Python and an interest in distributed data processing
- Understanding of data modeling data warehousing or analytics engineering concepts
- Familiarity with dbt medallion architecture or similar concepts is a plus
- Exposure to data pipeline orchestration or ETL development
- Comfort working with GitHub ADO and Slack
- Strong analytical thinking problem-solving abilities and attention to detail
- Effective communication skills and ability to work collaboratively in a remote environment
- Stable internet connection and access to a PC or laptop
Nice to have
- Mission-driven
- Motivated multitasker
- Adaptable
- Collaborative
- Self-improving
- Detail-oriented
Day to day
- Design and maintain scalable data pipelines and ETL processes in Microsoft Fabric to support analytics reporting and product use cases
- Integrate data from internal and external sources while improving data quality consistency and reliability across the medallion architecture
- Collaborate with engineers analysts and product teams to translate business needs into technical solutions and help optimize cloud-native data infrastructure
