Senior Data Engineer
Tasks
- Architect and optimize Snowflake data platform
- Build and maintain ELT pipelines
- Define and enforce data governance policies
- Design and own dbt project structure
- Establish data modeling standards
- Identify and reduce technical debt
- Implement data quality and observability frameworks
- Optimize query performance and warehouse costs
- Own end to end delivery of data initiatives
- Participate in code reviews and technical design discussions
- Partner with analytics product and marketing teams
- Translate business requirements into data models
Perks/Benefits
- Active lifestyle reimbursement
- Continuous learning bonus
- Health care reimbursement
- Home office reimbursement
- Remote work
- Training and professional development
Skills/Tech-stack
Airflow | Amazon Kinesis | Apache Kafka | DBT | Dagster | Data Governance | Data Modeling | Data Observability | Data Quality | Data masking | Dimensional Modeling | ELT | Entity Relationship Modeling | Entity relationship | Fivetran | Incident Response | Lineage | Monitoring | Orchestration | PII | Prefect | RBAC | Relationship Modeling | SLAs | SQL | Snowflake
Education
Roles
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