Sr. Engineer - Data Analytics (Hybrid)
Tasks
- Build and maintain data pipelines
- Collaborate with cross-functional teams
- Collect and analyze product data
- Create data visualizations and reports
- Define and track product KPIs
- Develop ETL processes and data models
- Ensure data quality and integrity
- Manage data sources and warehouses
- Translate business questions into metrics
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Data Modeling | Data Visualization | ETL | Elasticsearch | GCP | Golang | Kafka | PostgreSQL | Python | REST API | Redis | SQL | Tableau
Education
Roles
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