Description

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

Responsibilities

• Build and maintain data pipelines using PySpark and Python.
• Develop and execute testing strategies for data workflows.
• Manage data within Snowflake or similar data warehouse environments.
• Deploy and manage data processes on AWS.

Required Skills

• 5+ years of professional experience in data engineering.
• Proficiency in Python.
• Hands-on experience with PySpark.
• Experience working with Snowflake or other data warehouse technologies.
• Experience managing workloads within AWS.
• Knowledge of quality engineering and data testing methodologies.
• Bachelor's degree or equivalent graduate level education.

Preferred Skills

• Experience with automated testing frameworks for data pipelines.

Key Skills

Education

Any Graduate