We are looking for an experienced Data Engineer with solid 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.
Mandatory Skills
Apache Pinot
Cube.js (Semantic Layer)
PostgreSQL
Kafka / Flink / Debezium
Advanced SQL
Python or Node.js
Real-Time Data Pipelines
Analytics / OLAP Systems
Key Responsibilities
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.
Positive to Have
ClickHouse or StarRocks
GraphQL
Kubernetes
Terraform
CRM or Sales Analytics domain experience
📌 Senior Real Time Data Engineer Apache Pinot & Cube Js Hyderabad
🏢 Bounteous
📍 Hyderabad
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