Data Engineer

Tasks

• Build data warehouses and data lakes
• Create technical documentation and knowledge transfer
• Deploy and manage data solutions on MS Fabric
• Design ETL/ELT pipelines
• Develop data ingestion processes
• Ensure compliance with regulatory and security requirements
• Implement data governance standards and controls
• Implement data modeling dimensional schemas
• Maintain data quality integrity availability
• Manage access controls and data protection measures
• Monitor system performance and implement improvements
• Optimize database performance and storage
• Partner with analysts and data scientists
• 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

Alteryx | Amazon Web Services | Azure Data | Azure Data Factory | Cloud platform | DBT Cloud | Data Factory | Data Lakes | Data Modeling | Data Warehousing | Dimensional Modeling | ELT | ETL | Fivetran | Google Cloud | Google Cloud Platform | Microsoft Fabric | Microsoft SQL | Microsoft SQL Server | NoSQL | Python | Relational databases | SQL | SQL Server | Snowflake Schema | Star Schema | Web Services