Full Stack Data Developer

0 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Summary

We are looking for a skilled and passionate Full Stack Data Developer with hands-on experience in

Apache Pinot

,

Cube.js

, and

TypeScript

to join our data engineering team. The ideal candidate will help build scalable, real-time analytics platforms and APIs, enabling business users and applications to interact with high-performance datasets through rich dashboards and interfaces.

Key Responsibilities

  • Design and develop real-time OLAP data pipelines using Apache Pinot.
  • Integrate and build analytics APIs using Cube.js, connected to various data sources.
  • Build frontend components and dashboards using TypeScript and modern frameworks (React, Next.js, etc.).
  • Optimize query performance and ensure the scalability of the analytics stack.
  • Collaborate with data engineers, backend developers, and product stakeholders to deliver high-impact features.
  • Maintain documentation and contribute to best practices around data modeling, API development, and observability.

Required Qualifications

  • Strong experience with Apache Pinot and real-time analytics use cases.
  • Proficient in Cube.js for data modeling, API layer development, and pre-aggregations.
  • Solid experience in TypeScript and frontend frameworks like React or Vue.js.
  • Familiarity with data pipelines, ingestion tools (Kafka, stream processors), and columnar storage concepts.
  • Experience building and deploying microservices, APIs, and visualization components.
  • Good understanding of RESTful APIs, SQL, and performance tuning for analytics workloads.

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