Related skills
bigquery redshift snowflake etl sql📋 Description
- Translate marketing requirements into scalable tech solutions for maintainability and speed.
- Own day-to-day platform health; monitor workflows, investigate failures, restore service.
- Define KPIs: data freshness, latency, completeness, errors, cost; drive SLAs.
- Design, build, and maintain ELT/ETL pipelines for marketing and revenue data.
- Implement automated data quality checks: validation, reconciliation, anomaly detection.
- Own intake: triage requests and tradeoffs between accuracy, speed, and complexity.
🎯 Requirements
- Bachelor's degree in Computer Science, Mathematics, Data Science or related field
- 8+ years in data engineering or analytics with production pipelines ownership
- Strong SQL and Python skills, with data modeling across structured and semi-structured data
- Experience with modern data warehouses: BigQuery, Snowflake, Redshift, SQL Server
- Experience with configuration-driven workflows and YAML-based orchestration
- API-based data integrations with authentication and error handling
🎁 Benefits
- Generous paid time off in your first year, increasing with tenure.
- Up to 16 weeks 100% paid parental leave after one year.
- Paid sick time to care for yourself or family members.
- Education assistance and extensive training resources.
- Competitive 401k with company matching.
- Health & wellness benefits, including discounted Wellhub membership rates.
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