Data Engineer (onsite)
Tasks
- Architect data acquisition and ingestion pipelines
- Design and maintain ELT ETL pipelines across cloud platforms
- Design data warehouse schemas with dimensional modeling
- Document data architecture and lineage and provide technical guidance
- Evaluate and integrate new data sources and link datasets
- Implement and manage data lakes and warehouses
- Plan and execute data migrations with validation and cutover coordination
Perks/Benefits
Skills/Tech-stack
API Integration | Azure Data | Azure Data Factory | Correlated Subqueries | DBT | Data Factory | ELT | ETL | GCP Dataflow | GCP Dataproc | Git | Google BigQuery | Machine learning libraries | NumPy | Orchestration | Pandas | Partitioning | Performance optimization | Python | Python machine learning | Python machine learning libraries | Query Optimization | R | REST APIs | SQL | SQL Performance | SQL Performance Optimization | SQL correlated subqueries | SQL window functions | SQLAlchemy | SSIS | Version control | Window Functions
Education
Roles
Regions
Countries
States
Cities
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