Description

You will design and build data pipelines for large-scale data processing.

This role is hybrid.

Responsibilities

• Develop and maintain ETL/ELT processes using Spark and Python.
• Orchestrate data workflows using Airflow scripting.
• Manage and interact with data models using Erwin.
• Implement and optimize data solutions within GCP environments.

Required Skills

• 5+ years of experience in Data Engineering.
• Expert proficiency in Python.
• Deep experience with Apache Spark.
• Hands-on knowledge of GCP services.
• Proficiency in scripting Airflow for workflow management.
• Experience with data modeling tools like Erwin.

Key Skills

Education

Any Graduate