Senior Data Engineer
Tasks
- Build real-time and batch data pipelines
- Conduct test-driven development
- Design data platform architecture
- Design develop data products and intelligent APIs
- Design develop maintain real time data pipelines
- Ensure data quality frameworks
- Ensure scalability maintainability extensibility and data integrity
- Implement continuous integration and continuous development
- Ingest curate provision data for analytics reporting and data science
- Lead data analysis and data architecture for BI and AI ML
- Lead peer development and code reviews
- Monitor system performance troubleshoot issues
- Provide technical leadership & mentorship
Perks/Benefits
- 401k matching
- Dental insurance
- Flexible spending account
- Health insurance
- Health savings account
- Paid Holidays
- Paid time off (PTO)
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
ADLS | AWS | Agile | Apache Spark | As-a-Service | Azure | 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 | CI/CD | Cloud platform | Cosmos DB | Data Architecture | Data Factory | Data Modeling | Data Warehousing | Databricks | Event Hub | Event Hubs | Google Cloud | Google Cloud Platform | Infrastructure as a Service | IoT Hub | Kafka | Machine Learning | NoSQL | Power BI | Python | RESTful APIs | SQL | Stream Analytics | Tableau | Test-Driven | Test-Driven Development
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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