Data Engineer
Tasks
- Automate ML deployment
- Build batch and real-time pipelines
- Collaborate with data scientists and product managers
- Design data pipelines
- Enable retail media measurement across channels
- Ensure reproducibility across environments
- Implement data quality tooling
- Manage data catalog, metadata, and lineage
- Mentor junior engineers
- Monitor ML model performance
- Optimize pipeline performance
Perks/Benefits
Skills/Tech-stack
Alerting | Amazon Redshift | Apache Spark | Argo Workflows | Azure | BigQuery | Cassandra | Cloud Data | Cloud data warehousing | Data Cataloging | Data Lineage | Data Quality | Data Warehousing | Docker | DynamoDB | FastAPI | Feature Engineering | GCP | Git | Hive | Kubernetes | Logging | MLOps | Metadata Management | Model Deployment | Model Monitoring | MongoDB | Monitoring | NoSQL | PySpark | Python | SQL | Unit Testing
Education
N/A
Roles
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