Description

You will build and maintain data pipelines using PySpark and Python within an AWS environment.

Responsibilities

• Develop and optimize data processing tasks using PySpark and Python.
• Manage and query data within Snowflake using advanced SQL.
• Implement data structures and ensure high standards of data quality.
• Utilize AWS services to support data engineering workflows.

Required Skills

• 4+ years of professional Python experience.
• 2+ years of hands-on experience with PySpark.
• Very strong expertise in Snowflake and SQL.
• Experience working within AWS environments.
• Solid understanding of data quality and data structures.
• Bachelor's degree in a relevant field.

Preferred Skills

• AWS certification.
• Experience with Kafka.

Key Skills

Education

Bachelor's degree