Description

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

This role is on-site.

Responsibilities

• Develop and optimize data processing workflows using PySpark.
• Write and maintain clean, efficient Python code for data engineering tasks.
• Manage and deploy data infrastructure on AWS.
• Ensure data integrity and pipeline reliability across all production environments.

Required Skills

• 5+ years of professional experience in data engineering.
• Proficiency in Python.
• Hands-on experience with PySpark for large-scale data processing.
• Experience working within the AWS ecosystem.
• Bachelor's degree or equivalent experience.

Key Skills

Education

Any Graduate