Senior Data Engineer

• Expert-level proficiency in Python and extensive hands-on experience with PySpark for building and optimizing large-scale data processing workflows
• Proven expertise in utilizing DBT (Data Build Tool) for advanced data
• Mastery of SQL with extensive experience in writing complex queries, performance tuning, and working with very large datasets

Overview

• Industry - HR, HUMAN RESOURCES
• Functional Area - Data Analytics & Business Intelligence / Statistics
• Job Role - Data Management / Statistics
• Employment type - Full Time - Permanent
• Work Mode - In Office

Qualifications

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

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