23 hours ago
Luxembourg (city not specified)Intern
Responsibilities
- Design, implement, and automate distributed systems for collecting and processing log events from multiple sources.
- Design data schemas and operate internal data warehouses and SQL/NoSQL database systems.
- Develop and maintain metrics, reports, analyses, and dashboards to support business decisions.
- Monitor and troubleshoot data pipeline and operational issues, investigate root causes, and resolve defects.
- Develop architectural plans and implementations for future data storage, reporting, and analytics solutions.
- Collaborate with Business Analysts, Data Scientists, and internal partners to identify opportunities and problems.
Requirements
- Currently enrolled in a bachelor's or master's degree program in computer engineering, computer science, or a similar technical field.
- Advanced knowledge or experience using SQL and experience with data querying or modeling using SQL and Excel.
- Experience with a scripting language such as Python, Java, or R.
- Knowledge of BI analytics, reporting, or visualization tools such as Tableau, AWS QuickSight, or COGNOS.
- Preferred: master's or advanced technical degree and proficiency in query, schema definition, and scripting languages.
- Preferred: experience optimizing SQL queries for large-scale, complex business datasets.
- Preferred: experience with data visualization software or open-source projects.
- Preferred: knowledge of Hadoop or Apache Spark, data warehouse architecture, infrastructure components, ETL, and reporting or analytics environments.
- Ability to work with ambiguity in a fast-paced environment.
Benefits
- Competitive pay.
- Impactful project and defined internship deliverables.
- Hybrid working, depending on the team.
- Networking opportunities and intern events, including speaker series, panels, and training sessions.
- Mentorship and career development.
- Internship start dates vary throughout the year, with an ideal duration of six months.
- Successful interns may be considered for a graduate role after completing university studies.
Tech Stack
Categories
Data Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.