Data Engineer
Tasks
- Apply data governance quality reliability principles
- Automate data workflows monitor pipeline health
- Build data lakes lakehouses data warehouses
- Build reusable data models curated datasets
- Design data pipelines
- Develop data ingestion transformation processes
- Document data structures transformation logic dependencies
- Ensure BI teams receive accurate structured timely data
- Ensure compliance with privacy and security regulations
- Evaluate and adopt data engineering tools frameworks
- Follow code quality testing version control documentation standards
- Implement ETL ETL best practices
- Maintain data access controls monitor data quality compliance metrics
- Resolve pipeline issues
- Transform business requirements into technical designs
- Translate data requirements into technical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Azure | Azure Data | Azure Data Factory | Data Factory | Data Governance | Data Lakes | Data Modeling | Data Quality | Data Reliability | Data Warehousing | Databricks | ELT | ETL | GDPR | HIPAA | Lakehouse | Metadata Management | Microsoft Fabric | Microsoft SQL | Microsoft SQL Server | Python | SQL | SQL Server
Education
Roles
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