Key job 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 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
A day in the life
Our Data Engineers build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems (e g MapReduce, MPP architectures, NoSQL database. We’re looking for Data Engineer interns to join one of our many lines of business.
About the team
If you’re insatiably curious and always want to learn more, then you’ve come to the right place. Depending on your location, country, job status and other requirements, some or all of the following benefits may be available to you as an intern.
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.
We are committed to diversity, equity, and inclusion, and leveraging our unique perspectives to scale our impact and grow. Amazon has 13 affinity groups (https://www.aboutamazon.com/affinity-groups), sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. With executive and company sponsorship, these groups play an important role in building internal networks for creating a community, advising Amazon business units, leading in service projects, and reaching out to communities where Amazonians live and work.
Want to know more about our opportunities? Visit our EMEA Student Programs Team Events page to register for one of our upcoming events: https://amazonstudentevents.splashthat.com/careers
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)
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
EMEA Student Programs Team
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.