Enterprise Data Engineer
Tasks
- Automate data processing
- Enrich data models
- Implement ETL pipelines
- Implement data quality checks
- Integrate data from APIs
- Integrate data from databases
- Integrate data from flat files
- Monitor dataset accuracy and reliability
- Optimize data structures for performance
- Perform data transformations
- Validate and cleanse data
- Write Python scripts
- Write SQL queries
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Apache Airflow | Apache Spark | Azure | Data Modeling | Data Quality | Data Validation | Data integration | ETL | GCP | Hadoop | Palantir | Prefect | Python | SQL
Education
Roles
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