Description

Build and maintain data pipelines on GCP to deliver actionable business insights.

This role is on-site.

Responsibilities

• Develop, support, and monitor data pipelines using Python, PySpark, and GCP tools like Data Proc, Composer, and GCS.
• Extract, transform, and load data from diverse sources using advanced SQL, including window functions.
• Design and build semantic data layers and efficient ingestion processes within BigQuery.
• Collaborate with stakeholders across Executive, Product, Data, and Design teams to resolve technical issues and define data needs.
• Translate complex data findings into plain language and visualizations for business and operational audiences.

Required Skills

• 8+ years of experience in Data Engineering.
• Strong proficiency in Python and PySpark.
• Advanced SQL skills with deep experience in window functions.
• Hands-on experience with GCP Big Data technologies, specifically BigQuery, Data Proc, Composer, and GCS.
• Experience with MySQL.
• Bachelor's degree in a relevant field.

Key Skills

Education

Bachelor's degree