About the Role :

We are looking for a highly skilled Senior Real-time Data Engineer to design, develop, and scale a high-performance analytics platform capable of processing millions of real-time events daily. The ideal candidate should have strong expertise in Apache Pinot along with experience in building scalable real-time data pipelines and analytics systems.

Key Responsibilities :

- Design and maintain a low-latency analytics architecture capable of supporting high-concurrency workloads.

- Build and optimize real-time ingestion pipelines from PostgreSQL and streaming platforms like Kafka/Kinesis into Apache Pinot.

- Develop and maintain semantic data models using Cube.js to ensure consistency across dashboards, reports, and APIs.

- Optimize Apache Pinot tables, indexing strategies, and query performance for fast dashboard response times.

- Collaborate with frontend and backend teams to expose scalable REST/GraphQL APIs for analytics and reporting.

- Implement secure multi-tenant data access and governance within the semantic layer.

- Translate complex business requirements into scalable analytical data models and schemas.

Required Skills :

- Strong experience with Apache Pinot in production environments.

- Hands-on experience with Cube.js (Cube) for semantic modeling and pre-aggregations.

- Expertise in PostgreSQL with strong analytical query optimization knowledge.

- Experience with real-time streaming technologies such as Kafka, Debezium, Flink, or Kinesis.

- Proficiency in Node.js or Python.

- Strong command of SQL and data modeling concepts.

- Experience designing scalable real-time analytics platforms.

Preferred Skills :

- Experience with OLAP technologies such as ClickHouse or StarRocks.

- Knowledge of Infrastructure as Code tools like Terraform and Kubernetes.

- Experience in CRM, Sales Analytics, or SaaS analytics ecosystems.

- Exposure to multi-tenant data architecture and security implementation.

- Open-source contributions related to Apache Pinot or Cube ecosystem are a plus.

What We're Looking For :

- Strong problem-solving and performance optimization skills.

- Ability to work in a fast-paced, high-scale environment.

- Excellent collaboration and communication skills.

- Passion for building scalable, real-time data products.

Interested candidates who can join within 0- 10 days are highly preferred.