Description

You will build and maintain data pipelines with a strong focus on quality engineering.

Responsibilities

• Develop and maintain data pipelines using PySpark and Python.
• Implement testing frameworks and quality engineering practices within data workflows.
• Manage and optimize data storage and queries in Snowflake or similar data warehouse environments.
• Deploy and manage data infrastructure on AWS.

Required Skills

• 8+ years of experience in Data Engineering.
• Proficiency in Python and PySpark.
• Experience with Snowflake or equivalent data warehouse technologies.
• Hands-on experience with AWS infrastructure.
• Demonstrated knowledge of testing methodologies applied to data engineering.
• Degree in any graduate field.

Key Skills

Education

Any Graduate