Description

You will build and maintain data pipelines using modern engineering frameworks in Manhattan, New York.

This role is on-site.

Responsibilities

• Develop and optimize data workflows using SQL and Python.
• Manage data transformations and modeling via DBT.
• Implement large-scale data processing using Spark.
• Ensure data integrity and pipeline efficiency across GCP environments.

Required Skills

• 5+ years of professional data engineering experience.
• Expertise in SQL and Python.
• Hands-on experience with Spark.
• Proficiency with DBT.
• Must hold at least two of the following GCP certifications: Machine Learning, Data Engineering, or Cloud.
• Bachelor's degree or equivalent graduate level education.

Key Skills

Education

Any Graduate