Data engineer in distributed systems

Do you love building tools and data pipelines? Are you excited by the opportunity to create clear effective reports and data visualizations, and collaborate with stakeholders to answer key business questions? Do you want to be a part of a fast-paced environment and contribute to one of the most visited sites on the Internet? If this describes you, consider joining us as an intern. Amazon is looking for a data engineer intern to join one our many lines of business.

• 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)
• Будет плюсом: 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

• Competitive pay
• Impactful project and internship/role deliverables
• Hybrid working (team dependent)
• Networking opportunities with fellow interns
• Internships events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions.
• Mentorship and career development
• If you’re successful during your internship, you could be considered for a graduate role after finishing your university studies
• Internship start dates vary throughout the year.
• Internship ideal length is 6 months.