About the role
Build and maintain ETL pipelines, data warehouses, and analytics datasets powering an education technology platform.
Key responsibilities
- Build ETL pipelines.
- Collect university datasets.
- Normalize CSV imports.
- Build data warehouse.
- Create APIs.
- Develop indexing pipelines.
- Optimize PostgreSQL.
- Implement data validation.
- Manage cloud storage.
- Build analytics datasets.
Qualifications
- 3–5 years of data engineering experience.
- Strong SQL and Python skills.
- Hands-on experience with ETL processes and PostgreSQL.
- Comfortable with cloud storage and data validation practices.
Technology stack
PythonSQLPostgreSQLETLAWSAzurePandasAirflow
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