Description

You will build and manage core data infrastructure, designing scalable solutions and ETL pipelines.

Since is_remote, hybrid, and on_site are all 0, no work-mode line is added.

Responsibilities

• Design, develop, and maintain ETL pipelines and data integration workflows.
• Develop scalable data solutions using Python and PySpark.
• Implement and manage data infrastructure on AWS and Databricks.
• Monitor, troubleshoot, and optimize data systems for performance and integrity.
• Collaborate with data scientists, analysts, and business teams to deliver data solutions.

Required Skills

• 9+ years of experience as a Data Engineer.
• Strong proficiency in Python and PySpark.
• Expertise in ETL Pipelines development.
• Hands-on experience with the AWS cloud platform.
• Experience managing workflows in Databricks.
• Bachelor’s degree in a relevant field.

Preferred Skills

• Experience collaborating with cross-functional data teams.

Key Skills

Education

Bachelor’s degree