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sql python pandas dbt airflow📋 Description
- Design scalable ETL pipelines from transactional DBs to analytical warehouses
- Build real-time data ingestion for campaigns, user metrics, and BI
- Create multi-tenant data models with proper partitioning for enterprise clients
- Develop data quality frameworks with validation, monitoring, and alerts
- Implement Row-Level Security and RBAC in analytical databases
- Optimize performance with partitioning, indexing, and materialized views
🎯 Requirements
- 5+ years of data engineering on production-scale systems
- Expert SQL skills with analytical databases (columnar preferred)
- Strong Python with pandas, numpy, pyarrow
- Experience with ETL orchestration tools: Airflow, Prefect, dbt
- Deep understanding of analytical DBs, partitioning, OLAP
- Knowledge of RLS and RBAC in analytical databases for multi-tenant data
🎁 Benefits
- People: collaborative, friendly colleagues
- Guidance: learning platform for training
- Surprise meal stipends for work-from-home days
- Work/life harmony: vacations, holidays, wellness
- Whole Health Package: medical, dental, vision, life
- Work-from-home stipend to set up a home office
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