Data & Analytics Engineer
Tasks
- Apply data quality reconciliation and documentation standards
- Build and maintain Power BI reports, dashboards, and semantic models
- Build and maintain data pipelines
- Deliver trusted analytics solutions
- Design and develop curated analytics ready datasets
- Develop reusable data pipelines transformation patterns and data models
- Ingest and manage data across Raw Transformed and Curated layers
- Maintain data and analytics standards best practices and frameworks
- Partner with business finance and IT teams to define requirements and validate outputs
- Support data ingestion modeling and analytics enablement for finance and ERP platforms
- Use Python for data ingestion schema discovery and ETL troubleshooting
Perks/Benefits
Skills/Tech-stack
Azure Data | Azure Data Factory | Data Factory | Data Modeling | Data Pipelines | Data Quality | Data Reconciliation | Data Validation | Data Warehousing | ELT | ERP | ETL | Integration Services SSIS | Microsoft Dynamics | Microsoft Fabric | Microsoft Power | Microsoft Power BI | Power BI | Python | SQL | SQL Server | SQL Server Integration Services | SQL Server Integration Services (SSIS) | SQL Server integration | Semantic Modeling | Snowflake
Education
N/A
Regions
Countries
States
Cities
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