Mid/Senior Data Engineer (Risk and Finance Reporting)
Tasks
- Build data processing pipelines
- Collaborate with stakeholders to deliver data solutions
- Create data architectures for performance and scalability
- Design data ingestion systems
- Develop and maintain ETL and ELT pipelines
- Ensure data integration and synchronization
- Implement monitoring and alerting for data workflows
- Maintain data quality security availability and performance
- Perform code reviews troubleshoot defects
Perks/Benefits
- Additional vacation weeks
- Flexible working hours
- Health days
- Health insurance
- Hybrid work
- Paid leave for military training
- Professional training and development
- Special offers for company products and services
- Volunteer time off
- Wellbeing resources
- Work from EU Iceland Switzerland and UK
Skills/Tech-stack
Agile | Amazon Redshift | Amazon Web Services | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | Cloud platform | DBT | Docker | ELT | ETL | Event Driven | Event-driven architecture | Google BigQuery | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Message queuing | Microsoft Azure | NoSQL | Python | SQL | Snowflake | Web Services | “as-code”
Education
N/A
Roles
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