Data Engineering Intern

Skills
Azure Data FactoryComputer ScienceDevopsWarehouse OperationsConsumer TextilesContinuous ImprovementData Warehousing
Role

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