Senior Data Engineer
Tasks
- Build and maintain MCP servers
- Build data pipelines
- Build data platform
- Create agent specifications
- Create and maintain infrastructure as code
- Design agent workflows
- Design data mart architecture
- Design data product architecture
- Develop MCP connectors
- Develop data marts
- Implement data governance security
- Maintain daily data refresh
- Monitor pipeline health and self healing
- Orchestrate scheduled data workflows
- Provide data ingestion guidance
- Review agent authored changes
- Transform and clean data
- Write SQL best practices
Perks/Benefits
Skills/Tech-stack
Airbyte | Ansible | Apache Airflow | CI/CD | DBT | Data Catalog | Data Governance | Data Ingestion | Data Marts | Data Processing | Docker | Fivetran | Google BigQuery | Infrastructure as Code | Kanban | Kubernetes | Looker | MCP | Metabase | Monitoring | Python | Redshift | Reverse ETL | SQL | Scrum | Snowflake | Terraform | “as-code”
Education
N/A
Roles
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