Analytics Engineer (Engineering Analytics & IoT Systems) - VECTOR SEARCH PROFESSIONALS

Roles & Responsibilities

Responsibilities :

• UI Development : Build and enhance user interfaces using ReactJS (or FJS) with a focus on modern, intuitive, and responsive design.
• Data Pipeline Ownership : Own the complete data acquisition pipeline including :
• IoT modules
• Azure IoT Hub & Event Hub
• Data Bricks cluster (data processing & transformations)
• Distributed Postgres / Citus database clusters for storage
• API Development : Design, develop, and maintain scalable RESTful / GraphQL APIs.
• Full SDLC Ownership : Take responsibility for the end-to-end lifecycle of your components — requirements, design, coding, testing, deployment, and support.
• Quality & Best Practices :
• Follow DevOps and software engineering best practices
• Write and maintain unit, integration, system, and end-to-end tests
• Participate in and respect the code review process
• Collaboration : Be transparent in technical decisions, clearly explain solutions, and collaborate effectively with SMEs, architects, and other developers.
• Product Mindset : Focus on delivering core product value rather than standalone solutions.

Requirements :

Preferred

Tell employers what skills you have

Pipelines

Software Engineering

UI

Distributed Systems

Finish

Python

Anomaly Detection

Visualization

Debugging

Databases