Senior Data Engineer

Exclusive opportunity

Hybrid

Senior Data Engineer

Peak Finder Consulting Chennai

Senior Data Engineer

Skills

PostgreSQLKafkaGraphQLData Analysis

1 month ago

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Important information

Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

10 September 2026

What they need

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.

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