Sr. Data Engineer
Tasks
- Architect maintain sources of truth
- Build and scale semantic layer and metrics
- Define version controlled tested data models for business intelligence
- Design build deploy scalable ETL/ELT pipelines
- Implement data governance and quality automation
- Model truth with dbt data models
- Monitor data pipeline integrity and reliability
- Optimize data flows in AWS for availability security and cost
- Transform raw source data into governed data marts
Perks/Benefits
- Employee recognition program
- Flexible work culture
- Hybrid work
- Learning and development
- Mental health support
- Professional development tools
- Remote work
- Time off
- Tuition reimbursement
- Wellness programs
Skills/Tech-stack
AWS IAM | AWS Lambda | AWS S3 | CI/CD | DBT | Databricks | ELT | ETL | Fivetran | Git | MetricFlow | PySpark | Python | SQL | Semantic layer | Snowflake | Snowpipe | Streams | Tasks
Education
N/A
Roles
Regions
Countries
States
Cities
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