Senior Snowflake Data Engineer
Tasks
- Analyze query plans and improve performance
- Architect solutions for performance scalability and governance
- Build scalable ETL/ELT pipelines
- Define data modeling standards and best practices
- Design and implement enterprise Snowflake architecture
- Design scalable ingestion frameworks for structured and semi structured data
- Develop orchestration workflows using Airflow and dbt
- Establish data lifecycle management retention and archival strategies
- Implement data quality checks validation and observability
- Implement monitoring frameworks for performance and usage tracking
- Maintain documentation for data lineage and architecture
- Optimize compute cost and storage management
- Optimize warehouse sizing and workload management
- Support batch and near real time ingestion
- Troubleshoot performance bottlenecks across pipelines
- Tune ingestion processes
Perks/Benefits
- 401k match
- Health benefits
- Hybrid work schedule
- Paid parental leave
- Paid sabbatical
- Trust-based time off
- Tuition reimbursement
Skills/Tech-stack
AWS | Airflow | Azure | Clustering | DBT | Data Governance | Data Modeling | Data Observability | Data Quality | Data Warehousing | ELT | ETL | GCP | Micro-partitioning | Monitoring | Query Optimization | SQL | Snowflake
Education
N/A
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