Data Engineer
Tasks
- Automate deployment monitoring and management of Snowflake
- Build and maintain scalable data pipelines
- Contribute to AI features
- Develop dbt models tests and documentation
- Document system architectures configurations and procedures
- Ensure security best practices
- Implement CI CD pipelines for data applications and infrastructure
- Implement monitoring, logging, and alerting
- Manage Snowflake data warehouse environments
- Optimize pipeline performance scalability and cost
- Perform code reviews
- Provision and configure cloud resources with Terraform
- Support data governance and data quality initiatives
- Troubleshoot data infrastructure and pipeline issues
- Use Bash for system level automation
- Write Python automation scripts
Perks/Benefits
Skills/Tech-stack
Alerting | Azure DevOps | Bash | CI/CD | DBT | Data Modeling | Data Warehouse | Data pipeline | Data pipeline automation | Dimensional Modeling | Docker | ELT | ETL | GCP | GitHub Actions | GitLab CI | Infrastructure as Code | Jenkins | Kubernetes | Logging | Monitoring | Pipeline Automation | Python | SQL | Snowflake | Terraform | “as-code”
Education
Roles
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