Description

Build and maintain scalable data pipelines and systems, owning the full lifecycle of data workflows from extraction to storage.

This role is on-site.

Responsibilities

• Design and develop scalable data pipelines using PySpark.
• Implement data workflows for extraction, transformation, and analysis using SQL and Python.
• Manage and optimize data storage solutions on AWS.
• Monitor and troubleshoot pipeline issues to ensure data quality and integrity.

Required Skills

• 4+ years of experience in data engineering or related fields.
• Strong proficiency in SQL.
• Strong proficiency in Python.
• Hands-on experience with PySpark.
• Experience working with AWS services.
• Any Graduate degree.

Key Skills

Education

Any Graduate