Description

You will work on data engineering workflows and warehouse management.

Responsibilities

• Build and maintain data pipelines using PySpark.
• Manage and optimize data within the data warehouse.
• Develop and execute SQL queries for data processing.
• Utilize Databricks for large-scale data transformation tasks.

Required Skills

• 5+ years of professional experience in data engineering.
• Proficiency with PySpark.
• Strong SQL skills for data manipulation.
• Experience working with Databricks.
• Hands-on experience with data warehouse architectures.
• Technical degree or any graduate qualification in a technical field.

Key Skills

Education

Any Graduate