Description

Design and oversee large-scale data systems, integration frameworks, and ETL pipelines.

This role is on-site.

Responsibilities

• Design and implement scalable ETL frameworks for complex data pipelines.
• Architect data models using MongoDB to support high-volume workloads.
• Develop and maintain backend services using Node.js and Python.
• Build and automate REST APIs to ensure seamless data access.
• Manage big data environments and data engineering workflows.

Required Skills

• 5-10 years of experience in Data Engineering.
• 5-10 years of experience with ETL frameworks.
• 5-10 years of experience with MongoDB.
• 5-10 years of experience with Node.js.
• 5-10 years of experience with Python.
• 2-5 years of experience with Big Data technologies.
• 2-5 years of experience with REST APIs and API automation.
• Bachelor's degree or equivalent graduate level education.

Key Skills

Education

Any Graduate