Data Engineer
Tasks
- Build ML training and inference pipelines
- Build and maintain data ingestion pipelines
- Develop applications for data transparency
- Ensure reliable scheduled refreshes and data quality
- Implement master data management architectures and interactive applications
- Manage Microsoft Fabric data infrastructure
- Manage credentials and permissions and workspace administration
- Migrate and refactor data infrastructure and remove dead code
- Monitor pipeline health and troubleshoot failures
Perks/Benefits
Skills/Tech-stack
API pagination | Azure Synapse | Data Management | Data Pipelines | Data Warehouse | Databricks | Dataflows | Email parsing | Lakehouse | Machine Learning | Master Data | Master Data Management | Microsoft Fabric | Model Inference | Model Training | Notebooks | PostgreSQL | Python | REST APIs | Rate Limiting | SFTP | SQL | SQL Server | Snowflake
Education
N/A
Roles
Regions
Countries
States
Cities
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