Data Engineer (Cards team)
Tasks
- Add monitoring alerting and observability
- Build data pipelines and integrations
- Design data platforms
- Develop ETL/ELT pipelines
- Ensure data integration and synchronization
- Implement data quality and security controls
- Maintain data warehouse and reporting solutions
- Optimize data architectures
- Perform code reviews troubleshoot and fix defects
- Support migration from legacy to cloud
Perks/Benefits
- Additional vacation
- Flexible working hours
- Health days
- Health insurance
- Hybrid work
- Paid leave
- Professional training programs
- Special pricing for company products and services
- Tools for wellbeing
- Volunteer time off
Skills/Tech-stack
AWS | Airflow | Amazon Redshift | Azure | Azure Synapse Analytics | BigQuery | CI/CD | DBT | Data Pipelines | Data Warehousing | Data integration | Docker | Docker Compose | ELT | ETL | Event Driven | Event-driven architecture | Flink | Google Cloud | Infrastructure as Code | Kafka | Kubernetes | Message Queues | Microsoft Azure | Microsoft Azure Synapse | Microsoft Azure Synapse Analytics | NoSQL | Observability | PCI DSS | Python | SQL | Snowflake | Spark | Streaming Data | Streaming data pipelines | Synapse Analytics | Tokenization | “as-code”
Education
N/A
Roles
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