Description

You will design and manage large-scale distributed data processing systems and own the data engineering lifecycle.

This role is on-site.

Responsibilities

• Implement data modelling, quality, access, and storage solutions.
• Manage data development lifecycles to shorten lead times.
• Deliver data engineering projects using Agile methodologies.
• Deploy and maintain cloud data technologies across various environments.

Required Skills

• 7+ years of experience in data engineering.
• Proficiency in Python and SQL.
• Hands-on experience with PySpark for large-scale distributed data processing.
• Expertise using Azure Databricks and DBT.
• Experience with cloud platforms including GCP, Azure, or AWS.
• Any Graduate degree.

Key Skills

Education

Any Graduate