Sr. Data Engineer
Tasks
- Architect scalable data infrastructure
- Build and maintain sources of truth
- Design build deploy ETL ELT pipelines
- Develop modular version controlled tested data models
- Implement automated testing and monitoring for data quality
- Implement semantic layer for metrics and dimensions
- Model data in dbt for business intelligence
- Optimize data flows in AWS
- Orchestrate complex workflows with Databricks and Spark
- Transform raw source data into governed data marts
Perks/Benefits
- Employee recognition program
- Generous time off
- Hybrid work option
- In-office collaboration
- Learning and development resources
- Mental health support
- Ownership program
- Remote work flexibility
- Tuition reimbursement
- Wellness programs
Skills/Tech-stack
AWS | AWS Lambda | CI/CD | DBT | Databricks | Dbt Semantic Layer | ELT | ETL | Fivetran | Git | IAM | Lambda | MetricFlow | PySpark | Python | S3 | SQL | Semantic layer | Snowflake
Education
N/A
Roles
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