Accolite
Full Stack Data Developer
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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