Staff Analytics Engineer
Tasks
- Build Snowflake datasets for self service analytics
- Build and maintain dbt models
- Build feature datasets for AI and ML use cases
- Collaborate with data engineers on upstream modeling
- Conduct code reviews and architecture planning
- Design and own semantic and metrics layer
- Ensure data pipelines storage and access meet security and compliance
- Establish data modeling standards and documentation
- Implement data testing validation and observability
- Maintain metadata and documentation for data assets
- Standardize KPI metrics definitions
- Translate reporting requirements into reusable data models
Perks/Benefits
Skills/Tech-stack
BigQuery | CI/CD | DBT | Data Governance | Data Modeling | Data Observability | Data Quality | Data Testing | Data Validation | Data Warehousing | Dimensional Modeling | Docker | Five9 | Hex | Infrastructure as Code | Intercom | Kafka | Kinesis | Looker | Metadata Management | Metrics layer | NICE | PubSub | Redshift | SQL | Salesforce | Semantic layer | Sigma | Snowflake | Tableau | Terraform | “as-code”
Education
N/A
Roles
Analytics | Analytics Engineer | Data Engineering | Engineer | Engineering
Regions
Countries
States
Cities
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