Description

You will stabilize and scale data engineering initiatives for the Prospect and Student teams, owning batch and real-time pipelines, data warehousing, and data modeling.

This role is hybrid.

Responsibilities

• Build and maintain batch and real-time data pipelines.
• Design and implement data models within a data warehouse.
• Develop and orchestrate workflows using Airflow and Python.
• Optimize SQL queries and ensure data quality across teams.

Required Skills

• 5+ years of hands-on data engineering experience.
• Strong SQL proficiency (minimum 7.5/10).
• Proficiency in Python for data engineering tasks.
• Experience with Apache Airflow.
• Experience with cloud platforms (GCP preferred, AWS acceptable).
• Proven track record in data warehousing and data modeling.

Preferred Skills

• Experience with Google Cloud Platform (GCP).

Key Skills

Education

Any Graduate