Description

You will build and maintain scalable data pipelines for large-scale processing.

This role is on-site.

Responsibilities

• Develop and optimize data processing workflows using PySpark.
• Write and maintain complex SQL queries and stored procedures.
• Build scalable data integration scripts with Python.
• Manage data transformations and ensure data integrity across pipelines.

Required Skills

• 5+ years of professional experience in data engineering.
• Proficiency in PySpark for large-scale data processing.
• Advanced SQL skills, including writing and optimizing stored procedures.
• Strong programming skills in Python.
• Any Graduate degree.

Key Skills

Education

Any Graduate