E-Commerce Analytics Intern
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
E-Commerce Analytics Intern (SQL/Python/Databricks/Power BI): Automating data pipelines and building reporting for online sales performance with an accent on AWS S3 → Databricks → Power BI ETL, pipeline reliability, and data visualization. Focus on scheduled ingestion, ETL script development, and integrating Databricks queries into Power BI for faster, real-time decision support.
Location: Amsterdam (hybrid, 2-3 days per week in the office)
Company
empowers e-commerce teams with data-driven decisions to support digital growth.
What you will do
- Automate data ingestion from AWS S3 to Databricks using PySpark and scheduled jobs.
- Build and maintain end-to-end ETL pipelines in Databricks that feed Power BI reports.
- Schedule and troubleshoot regular data syncs across S3, Databricks, and Power BI for near real-time reporting.
- Optimize data flows to reduce latency and improve Power BI performance.
- Use GitHub for version control of pipeline scripts and SQL queries.
- Document Power BI dataset connections to Databricks Delta Tables and integrate Databricks queries via Direct Lake or ODBC.
Requirements
- Pursuing a degree in Data Science, Computer Science, or a related field.
- Hands-on experience with SQL, Python, PySpark, and Databricks for data analysis and pipeline development.
- Comfort working with large datasets and writing clean, efficient code.
- Strong problem-solving skills and attention to data accuracy.
- Strong English communication skills.
- Must be registered as a student for the entire internship period.
Culture & Benefits
- Direct supervision and mentorship from experienced members of the analytics team.
- Frequent feedback and regular check-ins to support learning and integration.
- 40 hours per week with a 6–12 month internship duration.
- Expected start date: ASAP.
Hiring process
- Internship application review with possible requests for student registration documentation.
- Interviews and evaluation of technical fit for SQL/Python/Databricks/Power BI work.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →