Mid/Senior Data Engineer (Risk and Finance Reporting)
Tasks
- Build data processing pipelines
- Collaborate with analysts and business stakeholders
- Create scalable data architectures
- Design data ingestion systems
- Develop ETL/ELT workflows
- Ensure data quality security availability performance
- Implement monitoring and alerting for data workflows
- Integrate and synchronize data across systems
- Maintain data pipelines reliability
- Perform code reviews troubleshoot and fix defects
- Support regulatory data reporting requirements
Perks/Benefits
- Additional vacation
- Discounts on company products and services
- Flexible working hours
- Health days
- Health insurance
- Hybrid work
- LinkedIn Learning
- Paid leave for military training
- Training programs
- Volunteer time off
- Wellbeing benefits
- Workshops conferences online training
Skills/Tech-stack
AWS | Agile | Amazon Redshift | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | Azure | Cloud platform | DBT | Data Warehousing | Docker | ELT | ETL | Google BigQuery | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | NoSQL | Python | SQL | Snowflake | Test automation | “as-code”
Education
N/A
Roles
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