Description

You will build and maintain data pipelines using PySpark and ETL processes.

This role is on-site.

Responsibilities

• Develop and implement ETL workflows to manage data movement.
• Build data processing pipelines using PySpark.
• Maintain data integrity throughout the ETL lifecycle.

Required Skills

• 5+ years of professional experience in data engineering.
• Proficiency in PySpark for large-scale data processing.
• Strong experience with ETL development and implementation.
• Degree in any graduate field.

Key Skills

Education

Any Graduate