Analytics Engineer
Tasks
- Apply Git branching and CI CD governance
- Collaborate with Data Engineers and BI Engineers
- Create automated tests documentation and lineage
- Define grains and KPIs
- Design dimensional models with facts and dimensions
- Develop SQL and PySpark transformations
- Implement business logic for curated datasets
- Implement data quality validation and reconciliation
- Maintain medallion layer hygiene in Microsoft Fabric
- Manage access with RLS and OLS
- Monitor data freshness and breaking changes
- Optimize Gold schemas for Power BI semantic models
- Own Silver to Gold transformation layer
- Surface risks negotiate scope and communicate impact
Perks/Benefits
Skills/Tech-stack
Automated testing | Azure Data | Azure Data Factory | CI/CD | CTE | Cause analysis | Conformed Dimensions | DAX | DBT | Data Factory | Data Freshness Monitoring | Data Governance | Data Modeling | Data Observability | Data Quality | Data Reconciliation | Data Validation | Data freshness | Delta Lake | Delta MERGE | Dimensional Modeling | Documentation | Freshness Monitoring | Git | Idempotency | Incremental processing | Least Privilege | Lineage | Merge | Microsoft Fabric | OLS | Optimize | Power BI | PySpark | Python | RLS | Root Cause Analysis | Root cause | SCD Type 1 | SCD Type-2 | SQL | Schema evolution | Star Schema | Time Travel | Type 1 | Type 2) | Upsert | Window Functions | ZORDER
Education
Associate Degree | Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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