Senior Analytics Engineer II
Tasks
- Build canonical datasets
- Build self-serve analytics tools
- Create documentation for people and AI agents
- Create governed data layer
- Deploy analytics to production
- Design success metrics
- Develop ETL/ELT pipelines
- Ensure data quality checks
- Implement data contracts
- Lead analytics product development
- Maintain semantic models and metric definitions
- Mentor analytics team testing and monitoring standards
- Monitor and alert on data pipelines
- Optimize warehouse queries and performance
- Own analytics end-to-end
- Partner with engineering on source systems and schemas
- Resolve analytics incidents
- Set data freshness SLAs
- Standardize dbt CI CD and code review
- Translate business questions into analytical solutions
Perks/Benefits
- Health and dental benefits
- Learning and development opportunities
- Unlimited paid time off
- Work from anywhere
Skills/Tech-stack
Airbyte | Airflow | Alerting | Amazon Redshift | Automation | CI/CD | DBT | Dagster | Data Contracts | Data Modeling | Data Quality | Data Warehousing | Data freshness | Databricks | ELT | ETL | Fivetran | Great Expectations | Looker | Metric Definitions | Mode | Monitoring | Power BI | Pydeequ | Python | Query Optimization | Runbooks | SQL | Schema Design | Semantic Modeling | Snowflake | Tableau
Education
N/A
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