Data Engineer
Tasks
- Build data pipelines
- Build proof of concept implementations
- Collaborate on data system best practices and documentation
- Consolidate data sources into data lakes and data warehouses
- Create interactive reports for internal and customer use
- Design, build, and maintain data transformation pipelines
- Develop ETL/ELT processes
- Implement data ingestion batch and real time
- Implement data validation and integrity tests
Perks/Benefits
- Critical illness cover
- Hybrid work environment
- Life insurance
- Paid time off
- Pension contribution
- Private healthcare
- Professional development
Skills/Tech-stack
Airflow | Azure | Data Lake | Data Modeling | Data Validation | Data Warehouse | ELT | ETL | Integration Services | Microsoft Fabric | Power BI | PySpark | Python | SQL | SQL Server | SQL Server Integration Services | SQL Server integration | Scala | Server Integration Services | Spark SQL
Education
N/A
Roles
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