Data Engineer (Cards Team)
Tasks
- Build data architectures
- Design data platforms
- Develop ETL/ELT pipelines
- Ensure data quality
- Ensure data security
- Implement data pipelines
- Implement monitoring alerting observability
- Improve data integrations
- Maintain data warehouse
- Migrate legacy data assets
- Perform code reviews
- Support data workflow troubleshooting
Perks/Benefits
- Conference access
- Flexible working hours
- Health days
- Health insurance
- Hybrid work
- More vacation
- Paid leave
- Professional training
- Special offers
- Volunteer time off
Skills/Tech-stack
Amazon Redshift | Amazon Web Services | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | Azure | Azure Synapse Analytics | Cloud platform | DBT | Data Warehousing | Docker | ELT | ETL | Event Driven | Event-driven architecture | Google BigQuery | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Message-driven | Message-driven architecture | Microsoft Azure | Microsoft Azure Synapse | Microsoft Azure Synapse Analytics | NoSQL | PCI DSS | Python | SQL | Snowflake | Synapse Analytics | Tokenization | Web Services | “as-code”
Education
N/A
Roles
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