Sr. Analytics Engineer
Tasks
- Build and maintain dbt transformation models
- Create and maintain documentation data dictionaries lineage and model libraries
- Define governed version controlled business metrics
- Deliver datasets for BI dashboards and self service analytics
- Develop reusable modeling frameworks macros and packages
- Implement automated data quality checks validation and monitoring
- Mentor junior team members and promote SQL optimization and dbt best practices
- Optimize cloud data warehouse performance and cost
- Own semantic and metrics layer
- Prepare feature ready datasets for machine learning and AI
- Support production support and on call for data pipeline health and issue resolution
- Transform raw data into analytics-ready datasets
Perks/Benefits
- Autonomy
- Flexible working schedule
- Fully remote work
- High-impact role
- International team collaboration
- Professional growth opportunities
Skills/Tech-stack
AWS | Anomaly Detection | Clustering | DBT Cloud | DBT Core | Data Cataloging | Data Governance | Data Lineage | Data Modeling | Data Monitoring | Data Quality | Data Validation | Databricks | Dimensional Modeling | Incremental models | Looker | Materializations | Medallion Architecture | Metrics layer | Power BI | Python | SQL | Semantic layer | Snowflake | Tableau
Education
N/A
Roles
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