Data Engineer

1. Design, build, and maintain scalable data pipelines and data lake solutions

2. Work with Spark for large-scale batch processing and analytics

3. Develop and optimize NoSQL/Document-based databases (MongoDB, etc.)

4. Collaborate with cross-functional teams on data modelling and architecture

Overview

• Industry - IT - Consulting Services / Advisory Services
• Functional Area - Data Analytics & Business Intelligence / Statistics, IT Software Programming / Analysis / Quality / Testing / Training
• Job Role - Data Quality Engineer
• Employment type - Full Time - On Contract
• Work Mode - In Office

Qualifications

• Any Graduate - Any Specialization
• Any Post Graduate - Any Specialization
• Any Doctorate - Any Specialization

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