Description

Lead data engineering efforts with a focus on architecture and scalability.

This role is on-site.

Responsibilities

• Develop engineering best practices and technical guidelines for the data team.
• Implement reusability patterns across data pipelines and frameworks.
• Design data models using fact and dimension table structures.
• Build and maintain scalable data solutions within Databricks and Snowflake environments.

Required Skills

• 10+ years of experience in Data Engineering.
• Proficiency in Python.
• Hands-on experience with Databricks.
• Hands-on experience with Snowflake.
• Strong understanding of data modeling fundamentals.
• Experience designing facts and dimensions for table construction.
• Ability to build and implement reusable data frameworks.
• 2-3 years of experience working within the retail industry.
• Degree in any field of study.

Key Skills

Education

Any Graduate