Description

You will build, optimize, and maintain scalable data pipelines and workflows.

This role is on-site.

Responsibilities

• Develop and optimize data transformations using DBT.
• Manage and query data within Amazon Redshift environments.
• Build scalable data workflows using Python and PySpark.
• Write and maintain complex SQL queries for data processing.

Required Skills

• 10+ years of professional data engineering experience.
• Expert-level SQL proficiency.
• Strong Python programming skills.
• Hands-on experience with PySpark.
• Experience with Amazon Redshift.
• Practical experience with DBT.
• Bachelor's degree or equivalent experience.

Key Skills

Education

Any Graduate