Key Responsibilities

- Architecture & Scaling: Design and maintain a low-latency analytics stack capable of handling high-concurrency queries from thousands of concurrent SaaS users.
- Real-time Ingestion:Build and optimize ingestion pipelines that move data from transactional databases (PostgreSQL) and event streams (Kafka/Kinesis) into Apache Pinot.
- Semantic Layer Development:UseCube (Cube.js)to model complex sales metrics (e.g., "Sequence Conversion Rate," "Attributed Revenue," "Meeting Booked Rate") ensuring consistency across the application.
- Performance Engineering:OptimizeApache Pinottables, indexing strategies, andCubepre-aggregations to ensure dashboard widgets load in under 300ms.
- API Strategy:Expose data models via REST/GraphQL APIs, collaborating closely with Frontend Engineers to build world-class data visualizations.
- Data Governance:Implement multi-tenant security logic within the semantic layer to ensure strict data isolation between different customer accounts.

📌 Senior Data Engineer (Bengaluru)
🏢 Peak Finder Consulting Chennai
📍 Bengaluru