We are looking for a strong Full Stack Data Engineer to contribute to the design and development of scalable enterprise BI and data platform capabilities.

The role requires hands-on experience across data engineering, backend services, APIs, and frontend integration to support modern analytics and platform initiatives.

The engineer will work closely with platform leads, architects, frontend engineers, and business stakeholders to build reusable data and reporting solutions that support enterprise-scale analytics and operational visibility.

Experience :

- 6 to 7 years of experience in Software and Data Engineering

- Experience working across data pipelines, backend services, and frontend integration layers

Key Responsibilities :

- Design and develop scalable data ingestion and transformation pipelines

- Build backend APIs and services supporting BI and analytics platforms

- Develop and integrate frontend components for dashboards and reporting interfaces

- Create reusable data models, reporting datasets, and platform services

- Collaborate with architects and engineering teams on scalable platform design

- Participate in CI/CD, code reviews, testing, and engineering standards adoption

- Support cloud-native and containerized platform initiatives

- Contribute to observability, monitoring, and operational improvements

Required Skills :

1. Data Engineering :

- Strong SQL and data modeling skills

- Python-based data processing and scripting

- ETL/ELT pipeline development

- Understanding of data transformation and integration concepts

2. Backend Engineering :

- REST API and backend service development

- Experience with Python / Java / Node.js (one or more)

- Database integration and optimization

3. Frontend Integration :

- Basic knowledge of React / Angular / JavaScript

- Exposure to dashboard and UI integration

- API consumption and frontend connectivity experience

4. Platform & Cloud :

- Understanding of CI/CD concepts

- Knowledge of Docker and containerization basics

- Exposure to AWS and cloud platform concepts preferred

Preferred Skills :

- Experience with BI and reporting platforms

- Knowledge of Superset or analytics visualization tools

- Understanding of distributed systems and scalable architectures

- Exposure to Terraform / Infrastructure as Code (IaC)

- Awareness of observability and monitoring concepts

Key Traits :

- Strong analytical and problem-solving mindset

- Ability to work across multiple technology layers

- Ownership-driven and adaptable approach

- Collaborative and platform-oriented thinking

Success Measures :

- Delivery of scalable and reusable data and analytics components

- High quality and maintainability of data pipelines and APIs

- Faster onboarding of BI use cases

- Improved reporting reliability and operational visibility

- Adoption of engineering standards and automation practices