Senior Data Engineer
Tasks
- Apply dimensional modeling and layered transformation logic
- Build AI assisted development tooling
- Build AI powered pipeline debugging and root cause analysis
- Build and maintain production ETL ELT pipelines
- Build monitoring and alerting for reliability
- Build reverse ETL workflows for operational activation
- Design Snowflake Task DAGs and scheduling
- Design cross brand canonical data primitives
- Document data lineage and transformation assumptions
- Enforce data quality standards and automated validations
- Implement AI augmented data catalog and lineage
- Implement data quality and anomaly detection systems
- Maintain and enhance Metabase reporting interfaces
- Manage Snowflake to Airtable sync workflows
- Optimize Snowflake warehouse cost
- Own Snowflake data warehouse design and performance optimization
- Translate business needs into technical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Airtable | Anomaly Detection | Cron | DBT | Data Lineage | Data Modeling | Data Quality | Data Warehousing | Dimensional Modeling | ELT | ETL | Embeddings | Hevo | Metabase | Operational analytics | Python | Retrieval-Augmented Generation | Reverse ETL | SQL | Snowflake | Snowflake Task DAG | Vector Stores
Education
N/A
Roles
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