Data Engineer
Tasks
- Build AI ready data layers on Snowflake Cortex
- Build and maintain CI CD pipelines for data assets
- Design and build data pipelines
- Develop and optimize Snowflake data models
- Document pipeline designs data flows and technical decisions
- Implement testing documentation and code optimization
- Implement transformation testing frameworks
- Ingest and process structured and semi structured data
- Manage priorities end to end with Jira
- Manage version control with GitHub
- Monitor and troubleshoot pipelines for data quality and SLA
- Optimize pipeline performance reduce latency and compute cost
- Support semantic layer development
- Translate business requirements into technical solutions
- Write Python for data manipulation and automation
Perks/Benefits
- 401k match
- Family leave
- Legal insurance
- Life insurance
- Medical, dental, vision plans
- Paid Holidays
- Paid time off
- Pet insurance
- Remote work hybrid
- Tuition reimbursement
Skills/Tech-stack
AWS | Airflow | Azure | CI Pipeline | CI/CD | CSV | DBT | Dagster | Data Lineage | Data Modeling | Data Quality | Dynamic Tables | ELT | GCP | GitHub | JSON | Jira | Materialized views | Parquet | Python | SQL | Snowflake | Snowflake Cortex | Streams | Tasks | Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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