Data Engineering | Intern | Lisbon
Tasks
- Apply data warehousing techniques in Databricks
- Design build and maintain batch and streaming ETL pipelines
- Develop and test Python and Spark code for ETL pipelines
- Document work and improve team processes
- Monitor test and validate data quality
- Participate in code reviews and team discussions
- Process structured and unstructured data from MongoDB and Postgres
- Troubleshoot and debug data systems
Perks/Benefits
Skills/Tech-stack
AWS | Apache Spark | Azure | Batch Processing | Data Warehousing | Databricks | ETL | GCP | MongoDB | PostgreSQL | Python | SQL | Streaming processing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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