Amazon is looking for a data engineer intern to join one our many lines of business to help solve big data warehousing problems, and partner with stakeholders to understand how to best design and implement cutting edge data solutions that provide answers to key business questions.
Requirements
- Experience with data transformation
- Experience with database, data warehouse or data lake solutions
- Experience with SQL
- Experience with one or more scripting language (e.g., Python, KornShell, Scala)
- Experience with AWS
- Experience building data pipe
Responsibilities
- Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources.
- Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that engineers, analysts, and data scientists use to drive key business decisions.
- Monitor and troubleshoot operational or data issues in the data pipelines.
- Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.
- Develop code based automated data pipelines able to process millions of data points.
- Improve database and data warehouse performance by tuning inefficient queries.
Other
- Internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm.
- Interns should not have conflicts such as classes or other employment during the Amazon work-day.
- Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
