3.0 - 7.0 years

0 Lacs

haryana

On-site

The Full Stack Data Developer position requires a skilled and passionate individual with hands-on experience in Apache Pinot, Cube.js, and TypeScript. As a member of the data engineering team, you will be responsible for building scalable, real-time analytics platforms and APIs. Your work will enable 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 like React and Next.js. - 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. - Proficiency in Cube.js for data modeling, API layer development, and pre-aggregations. - Solid experience in TypeScript and frontend frameworks such as React or Vue.js. - Familiarity with data pipelines, ingestion tools like Kafka, stream processors, and columnar storage concepts. - Experience in building and deploying microservices, APIs, and visualization components. - Good understanding of RESTful APIs, SQL, and performance tuning for analytics workloads.,

Posted 1 week ago

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