Related skills
data analysis etl sql python relational databases📋 Description
- Build and maintain ETL/ELT pipelines using Python and SQL
- Clean, transform, and normalize structured datasets
- Validate and monitor data quality across ingestion workflows
- Perform exploratory data analysis to identify anomalies
- Analyze match rates, coverage, and enrichment performance
- Propose data transformations to improve precision and recall
🎯 Requirements
- Strong foundation in SQL and relational DB design
- Experience using Python for data manipulation
- Understanding of ETL processes and data cleaning techniques
- Familiarity with normalization, indexing concepts, and query optimization
- Statistical thinking about data quality and distribution shifts
- Currently pursuing a B.S. in Information Sciences, Data Science, CS, or related field
🎁 Benefits
- Hands-on experience building ETL pipelines with Python and SQL
- Learn from a data engineering team on scalable data models
- Work on real-world data quality and analytics challenges
- Flexible remote internship with U.S. teams
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