Data Engineer / Analyst
Tasks
- Build scalable ETL pipelines for large volume telemetry
- Combine internal and external data sources for enhanced consumer experience
- Design data metrics from telemetry and user data for threat analysis and UX optimization
- Develop data insights and solutions using AI
- Develop real time dashboards for product health monitoring
- Ensure data quality and data integrity
- Integrate AI across mobile and desktop codebases
- Process and optimize analytics for consumer protection operations
Perks/Benefits
- Flexible work hours
- Hybrid work schedule
- Medical, dental, and vision coverage
- Paid bonus program
- Paid parental leave
- Paid time off
- Pension and retirement plans
- Support for community involvement
Skills/Tech-stack
AI | AWS | Apache Kafka | Apache Spark | Azure | Cloud platform | Cybersecurity | Databricks | ETL | Google Cloud | Google Cloud Platform | GraphQL | Machine Learning | MongoDB | NoSQL | PostgreSQL | REST | Real Time | Real-time Systems | Redis | SQL | Time Systems
Education
N/A
Roles
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