Data Engineer (Python | Airflow | Machine Learning)
Tasks
- Build data pipelines using Python
- Design scalable data pipelines
- Develop ETL and ELT processes
- Ensure data quality, reliability, and performance
- Integrate data from multiple sources
- Monitor and improve pipeline performance
- Optimize queries and transformations
- Support deployment and maintenance of data and ML applications
Perks/Benefits
Skills/Tech-stack
Amazon Redshift | Amazon Web Services | Apache Airflow | Apache Kafka | CI/CD | Cloud platform | Data Warehousing | ELT | ETL | Feature Engineering | Google BigQuery | Google Cloud | Google Cloud Platform | Kinesis | Machine Learning | Microsoft Azure | PyTorch | Python | SQL | Scikit-learn | Snowflake | TensorFlow | Web Services
Education
N/A
Roles
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