As a Data Engineer Intern, you will focus on building robust data platforms and modern architectures to power our business insights.
You should apply if you have:
Strong technical fundamentals in Python and SQL.
An interest in building data platforms and modern data architectures (ELT/ETL).
Familiarity with cloud platforms (AWS preferred) and data modeling.
A curious, ownership-driven mindset with a strong intent to learn.
Ability to work full-time.
You should not apply if you:
Prefer working in isolation without collaborating with a data team.
Are uncomfortable working with large datasets or cloud infrastructure.
Avoid writing clean, testable code.
Skills Required
Strong SQL and Python.
Data concepts (ETL/ELT, data modeling).
Bonus: dbt, Git, or any cloud data warehouse experience.
What You Will Do
Build and maintain data ingestion pipelines (EL) from sources like marketplaces, ERP, and marketing platforms.
Write and test dbt transformation models (Silver/Gold layers).
Assist in setting up the S3 Iceberg lakehouse and data quality checks.
Work with SQL and Python to clean, model, and validate data.