Analytics Engineer II
Tasks
- Build analytical data models
- Build dashboards
- Build data pipelines
- Build self-serve data products
- Collaborate with data engineers
- Collaborate with data science
- Collaborate with product and engineering teams
- Define developer productivity metrics
- Define ml ai adoption metrics
- Define platform health metrics
- Implement CI/CD for pipelines
- Improve data quality
- Improve pipeline cost efficiency
- Improve pipeline performance
- Maintain analytical data models
- Maintain data documentation
- Operate data pipelines
- Participate in support rotation
- Perform data quality testing
- Run data backfills
- Test and monitor data pipelines
- Troubleshoot data pipelines
Perks/Benefits
Skills/Tech-stack
Airflow | Amazon Redshift | BI Visualization | BigQuery | CI/CD | DBT | Dagster | Data Modeling | Data Observability | Data Pipeline Monitoring | Data Quality | Data Testing | Data pipeline | Databricks SQL | Flyte | Looker | Pipeline monitoring | Prefect | SQL | Snowflake | Tableau | Workflow Orchestration
Education
N/A
Roles
Analytics | Analytics Engineer | Analytics Engineer II | Data Engineer | Engineer | Engineer II
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