Related skills
sql python pandas dbt airflow📋 Description
- Build scalable data infrastructure for multi-tenant analytics
- Design ETL pipelines migrating data from OLTP to warehouses
- Create real-time data ingestion for campaigns and metrics
- Build multi-tenant data models with partitioning for enterprise-scale clients
- Develop data quality frameworks with validation and monitoring
🎯 Requirements
- 5+ years of data engineering experience with production-scale systems
- Expert-level SQL with analytical/columnar databases
- Strong Python with pandas, numpy, pyarrow
- Experience with ETL orchestration tools Airflow, Prefect, dbt
- Deep understanding of analytical databases, partitioning, OLAP
- Experience building SaaS data platforms with tenant isolation
🎁 Benefits
- People: talented, collaborative, friendly teammates
- Guidance: learning platform to help you succeed from day one
- Surprise meal stipends for remote work
- Work-life harmony: 26 days vacation, holidays, wellness allowance
- Medical, life, and business travel insurance
- Stock options as part of our equity-sharing program
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