Description

You will build and maintain scalable data pipelines using Python and PySpark within an AWS environment.

This role is on-site.

Responsibilities

• Develop and optimize data processing workflows using PySpark.
• Build and maintain scalable data pipelines on AWS infrastructure.
• Write clean, maintainable Python code for data engineering tasks.
• Manage data storage and retrieval using SQL and NoSQL databases.

Required Skills

• 12+ years of professional data engineering experience.
• Expertise in Python programming.
• Strong proficiency with PySpark for large-scale data processing.
• Hands-on experience with AWS cloud services.
• Advanced knowledge of SQL and NoSQL database systems.
• Bachelor's degree or equivalent experience in any field.

Key Skills

Education

Any Graduate