Senior Data Engineer
Tasks
- Build data ingestion curation and provisioning pipelines
- Deploy machine learning models to production
- Design data platform architecture for analytics requirements
- Design real-time data pipelines
- Develop batch data pipelines
- Develop data products and intelligent APIs
- Ensure scalability maintainability extensibility integrity
- Implement Continuous Integration and Continuous Deployment
- Implement test-driven development
- Improve data models for business intelligence
- Lead data analysis and data architecture for BI and AI ML
- Lead peer code reviews
- Monitor system performance and troubleshoot issues
- Provide technical leadership and mentorship
Perks/Benefits
Skills/Tech-stack
AWS | Agile | Analysis Services | Apache Spark | Azure | Azure Analysis | Azure Analysis Services | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Factory | Azure Event | Azure Event Hubs | Azure IoT | Azure IoT Hub | Azure Stream | Azure Stream Analytics | Big Data | CI/CD | Cosmos DB | Data Architecture | Data Factory | Data Modeling | Data Quality | Data Warehousing | Databricks | Event Hubs | Google Cloud | HDInsight | IoT Hub | Kafka | NoSQL | Power BI | Python | RESTful APIs | SQL | Stream Analytics | Tableau
Education
Roles
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