Sr. Engineer - Data Analytics (Hybrid)
Tasks
- Build data warehouses for metrics storage
- Define and track product KPIs for adoption engagement performance and outcomes
- Define data architecture and measurable KPIs
- Design and implement data pipelines for ingestion and transformation
- Develop ETL solutions and data models
- Develop data visualizations and dashboards
- Gather product and engineering insights
- Implement data validation automations
- Provide uptime alerts and monitor data services
- Translate business needs into metrics models and visualizations
Perks/Benefits
- Competitive vacation and holidays
- Employee networks and volunteer opportunities
- Employee wellness programs
- Hybrid work
- Paid adoption leave
- Paid parental leave
- Paid time off
- Professional development opportunities
- Volunteer opportunities
Skills/Tech-stack
Amazon Web Services | Apache Airflow | Apache Kafka | CQL | Cassandra | Cloud infrastructure | Cloud platform | DBT | Data Modeling | Data Visualization | Data Warehousing | Data pipeline | ETL | Elasticsearch | Golang | Google Cloud | Google Cloud Platform | Microsoft Azure | Oracle Cloud | Oracle Cloud Infrastructure | PostgreSQL | Python | REST API | Redis | SQL | Tableau | Web Services
Education
N/A
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