Mid/Senior Data Engineer (Risk and Finance Reporting)
Tasks
- Build data architectures
- Build data processing systems
- Collaborate with analysts and stakeholders
- Design data ingestion systems
- Develop ELT pipelines
- Develop ETL pipelines
- Develop data storage solutions
- Ensure data performance
- Ensure data quality
- Ensure data security
- Ensure system availability
- Fix defects
- Implement data sharing
- Implement monitoring and alerting
- Integrate systems data flows
- Optimize data pipeline performance
- Perform code reviews
- Support agile development
- Troubleshoot software defects
Perks/Benefits
- Extra vacation
- Flexible working hours
- Health days
- Health insurance
- Hybrid work
- Paid leave
- Special discounts
- Training and development
- Volunteer time off
- Wellbeing programs
Skills/Tech-stack
AWS | Amazon Redshift | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | Azure | CI/CD | Cloud platform | DBT | Docker | ELT | ETL | Event Driven | Event-driven architecture | Google BigQuery | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Message-based | Message-based integration | NoSQL | Python | Real Time | Real-time integration | SQL | Snowflake | Test automation | Time integration | “as-code”
Education
N/A
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