Data Engineer Sr
Tasks
- Build reusable data engineering workflows
- Collaborate with analytics and AI teams
- Define data engineering approaches
- Design data ingestion pipelines
- Design data transformation pipelines
- Enable data science and AI workflows
- Establish schema design best practices
- Handle data pipeline error management
- Implement data validation
- Improve data quality and lineage awareness
- Improve layered data architecture
- Lead data engineering workstreams
- Manage data pipeline scheduling
- Review deliverables for quality and usefulness
- Support governance privacy and security standards
- Support reporting and dashboarding pipelines
Perks/Benefits
- Career advancement
- Hybrid work options
- Learning and development
- Professional development programs
- Remote work options
Skills/Tech-stack
API Management | App Insights | Azure Cosmos | Azure Cosmos DB | Cosmos DB | Data Lineage | Data Validation | Data Warehouse | Data orchestration | ELT | ETL | Lakehouse | Layered Architecture | Medallion Architecture | Microsoft Fabric | Microsoft Foundry | PySpark | Python | SQL | Schema evolution | Spark
Education
N/A
Roles
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