Data Engineer

Tasks

• Build data warehouses and data lakes
• Deploy and manage data solutions on MS Fabric
• Design ETL pipelines
• Develop data ingestion processes
• Ensure data quality and integrity
• Implement data governance standards
• Implement dimensional data modeling
• Manage access controls and data protection
• Monitor system performance
• Optimize database performance
• Provide technical documentation and knowledge transfer
• Translate business requirements into technical solutions

Perks/Benefits

• Employee recognition program
• Flexible working hours
• Hybrid work
• Private medical insurance
• Private pension plan
• Spot bonuses

Skills/Tech-stack

AWS | Access Control | Alteryx | Azure | Azure Data | Azure Data Factory | Cloud platform | DBT Cloud | Data Factory | Data Governance | Data Ingestion | Data Lake | Data Modeling | Data Security | Data Warehousing | Database Performance Optimization | Database performance | Dimensional Modeling | ELT | ETL | Fabric Pipelines | Fivetran | Google Cloud | Google Cloud Platform | MS Fabric | Microsoft SQL | Microsoft SQL Server | Performance optimization | Python | SQL | SQL Server | Snowflake Schema | Star Schema