Amazon, Data Engineer Internship

• 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 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
• Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems
• Provide assistance to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem.

• Currently enrolled in a Bachelor’s or Master´s degree program in computer engineering, computer science, or a similar technical field
• Advanced knowledge and/or experience using SQL
• Experience with data querying or modeling with SQL, Excel
• Experience with scripting language (e.g., Python, Java, or R)
• Knowledge of BI analytics/reporting/visualization tools (e.g., Tableau, AWS QuickSight, COGNOS, or other third-party tools).

Preferred qualifications:

• Master’s or advance technical degree
• Proficient in at least one or more query language, schema definition language, and scripting language
• Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
• Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project
• Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments
• Ability to deal with ambiguity in a fast-paced environment.