Data Engineer
Tasks
- Architect data warehouse and lakehouse architecture
- Build data quality frameworks
- Define metrics and semantic layers
- Design scalable data pipelines
- Develop data pipelines and data models
- Ensure consistent and accurate data
- Implement Change Data Capture
- Implement data governance standards
- Implement event-driven data pipelines
- Optimize performance and cost
- Use AI-assisted development workflows
Perks/Benefits
- Employer-matched 401k
- Employer-paid health insurance
- Health & Wellness reimbursements
- PTO
- Paid Holidays
- Paid parental leave
- Remote work
- Stock options
Skills/Tech-stack
AWS | Change Data Capture | DBT | Data Capture | Data Governance | Data Lakehouse | Data Modeling | Data Quality | Databricks | Dimensional Modeling | Event Driven | Event-driven architecture | Fivetran | Kimball Dimensional | Kimball dimensional modeling | Medallion Architecture | Python | Redshift | SQL | Snowflake | Terraform
Education
Roles
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