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6 дней назад

E-Commerce Analytics Intern

Формат работы
hybrid
Тип работы
parttime
Грейд
trainee
Английский
b2
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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.

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