Data Engineer
Tasks
- Build fact dimension and aggregate tables
- Collaborate with Data Engineers on ingestion dependencies
- Create dbt documentation and lineage
- Create dbt tests
- Define business metrics and KPIs
- Design analytics data models in Snowflake
- Develop dbt models for curated datasets
- Enable semantic layer metrics in dbt
- Enforce RBAC in Snowflake
- Implement CI CD pipelines for dbt deployments
- Implement data validation with dbt tests
- Implement dbt snapshots for SCD Type 2
- Implement star and snowflake schemas
- Maintain dataset documentation and ownership
- Manage dbt environments
- Mentor analytics users with SQL and dbt best practices
- Monitor data freshness and accuracy
- Optimize Snowflake queries for Tableau extracts
- Publish and maintain Tableau data sources
- Schedule and orchestrate dbt runs
- Support audit and data lineage requirements
- Translate business requirements into data models
- Troubleshoot dashboard performance and data accuracy
- Use Git for version control
- Write modular reusable SQL with dbt
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Airflow | CI/CD | DBT | DBT Cloud | DBT Core | Data Governance | Data Lineage | Data Modeling | Dimensional Modeling | Git | RBAC | Role-Based Access | Role-Based Access Control | SQL | Snowflake | Tableau
Education
N/A
Roles
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