Description

Build and maintain scalable data architectures and ETL pipelines on GCP.

This role is on-site.

Responsibilities

• Develop and maintain code-based ETL pipelines using Python and SQL.
• Manage end-to-end data engineering projects from design to deployment.
• Write maintainable code for Big Data domain applications.
• Execute plans to protect and enhance the value of data assets.

Required Skills

• 4+ years of experience with Big Data solutions on GCP.
• 3+ years of Python development experience.
• 3+ years of code-based ETL development using Python and SQL.
• 3+ years of experience writing complex SQL queries.
• 2+ years of experience with GCP services including BigQuery, Kubernetes, and Composer.
• 2+ years of experience working with Apache Airflow.
• Hands-on experience with GitHub and development IDEs like VS Code.
• B.S. or M.S. in Computer Science, Computer Engineering, or a related Engineering field.

Preferred Skills

• Experience with Spark and Dataproc.

Key Skills

Education

Bachelor's degree