Data Engineer
Tasks
- Build scalable data pipelines
- Collaborate with DBAs
- Create repeatable data engineering frameworks and functions
- Design ETL/ELT processes
- Develop cloud data architectures
- Estimate module completion timelines
- Estimate project and task timelines
- Follow SDLC process
- Implement data automation with Python
- Model develop and maintain database objects
- Monitor validate and communicate data product health
- Optimize data pipelines and data products
- Partner with enterprise architecture info security and data governance
Perks/Benefits
- 401k
- Continuing education
- Dental insurance
- Employee assistance program
- Medical insurance
- Vision insurance
Skills/Tech-stack
API-driven | API-driven Architecture | AWS | Apache Airflow | Azure | Azure Data | Azure Data Factory | Azure DevOps | Data Factory | Data Governance | Data Lakes | Data Modeling | Data Pipelines | Data Quality | Data Security | Data Warehousing | Databricks | ELT | ETL | Event Driven | Event-driven architecture | Git | Job Scheduling | Luigi | Metadata Driven | Metadata-driven architecture | Orchestration | Power BI | Python | Query Optimization | SQL | Stored Procedures | T-SQL | Tableau | User Defined Functions | Version control
Education
Roles
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