Senior Data Engineer (Snowflake)
Tasks
- Build ETL/ELT pipelines
- Build data pipelines
- Cleanse data using transformation rules
- Conduct architecture and governance reviews
- Create and model application data structures
- Design data pipelines for analytics
- Develop SQL data mappings
- Develop automated fault tolerant pipelines
- Monitor data quality
- Optimize data pipeline performance
- Perform system health checks
- Profile data quality
- Provide technical leadership in production issues
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | AWS Glue | Amazon Redshift | Apache Airflow | Apache Kafka | Azure | CI/CD | Cloud platform | Confluent | Data Integrator | Data Vault | Data Warehousing | Data virtualization | DataOps | DataStage | Denodo | ELT | ETL | Event Driven | Event-driven architecture | GitHub | Google Cloud | Google Cloud Platform | IBM InfoSphere | IBM Infosphere DataStage | InfoSphere-DataStage | Informatica PowerCenter | Integration Services | Microsoft SQL | Microsoft SQL Server | Microsoft SQL Server Integration Services | Modular Design | MuleSoft | Netezza | Oracle Data | Oracle Data Integrator | Real Time | Real-time Data | SQL | SQL Server Integration Services | Server Integration Services | Snowflake | Teradata
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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