Senior Data Engineer
Tasks
- Build end-to-end data pipelines
- Create curated datasets for self serve analytics
- Define and align metrics across teams
- Design data models for marketing and GTM concepts
- Handle PII for data security and compliance
- Implement data quality, monitoring, and alerting
- Implement orchestration and CI CD for data
- Manage access controls and RBAC
- Own semantic layer for marketing performance reporting
- Transform GTM marketing data into analytics warehouse
- Tune warehouse performance and cost
- Write testable SQL and Python for data reliability
Perks/Benefits
- Family planning support
- Flexible time off
- Lifestyle stipend
- Mental health support
- Paid parental leave
- Private health insurance
- Wellness days
- Winter break
- Work from home options
Skills/Tech-stack
Airflow | Alerting | Amazon Redshift | Automated testing | Cost Optimization | DBT | Data Governance | Data Modeling | Data Observability | Data Quality | Databricks | ELT | ETL | Incident Response | Incremental processing | Monitoring | PII | Performance Tuning | Python | RBAC | Row Level Security | SQL | Semantic layer | Snowflake
Education
N/A
Roles
Regions
Countries
States
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