Description

You will build and manage core data infrastructure.

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.
• Collaborate with data scientists, analysts, and business teams to deliver data solutions.
• Monitor, troubleshoot, and optimize data systems for performance and integrity.

Required Skills

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

Key Skills

Education

Bachelor’s degree