We are looking for an experienced Data Engineer with robust expertise in Apache Pinot and Cube.js to build and scale our real-time analytics platform. The ideal candidate should have hands-on experience in designing low-latency analytics systems, real-time data pipelines, semantic data modeling, and customer-facing analytics solutions.
- Design and optimize real-time analytics solutions using Apache Pinot.
- Build and maintain semantic data models using Cube.js.
- Develop scalable ingestion pipelines from PostgreSQL and streaming platforms.
- Optimize query performance, indexing, and aggregations for low-latency analytics.
- Build APIs and data services for customer-facing dashboards and reporting platforms.
- Ensure data governance, security, and multi-tenant access controls.
Good to Have
- ClickHouse or StarRocks
- GraphQL
- Kubernetes
- Terraform
- CRM or Sales Analytics domain experience