Senior Data Engineer
Tasks
- Automate deployments with GitHub Actions
- Bridge ML experimentation and deployment with MLOps
- Build data pipelines
- Deliver production-ready datasets
- Deploy data driven applications with Azure
- Enable AI and automation capabilities
- Enhance data quality and governance
- Improve data accessibility and workflow efficiency
- Improve data observability
- Standardize development workflows with GitHub
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Azure Architecture | Azure Data | Azure Data Factory | Azure Databricks | Azure Event | Azure Event Hubs | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Governance | Data Observability | Data Quality | Event Hubs | GitHub | GitHub Actions | Kafka | MLOps | Pandas | Python | REST APIs | Real Time | Real-time Streaming | SQL | Synapse Analytics
Education
N/A
Roles
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