Description

You will build and maintain scalable, automated data processes and pipelines within a Google Cloud Platform environment.

This role is remote.

Responsibilities

• Establish automated processes for data analysis, model development, validation, and implementation.
• Develop data pipelines that prepare information for ingestion and consumption.
• Maintain and optimize databases and filesystems for production reporting and analytics.
• Collaborate with analysts and data scientists to manage downstream impacts on data models.
• Write efficient, well-organized software for iterative release environments.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency with Python and object-oriented/object-functional scripting.
• Strong experience with relational SQL databases.
• Hands-on experience with Google Cloud Platform (GCP).
• Experience with Airflow for pipeline and workflow management.
• Working knowledge of DBT for data transformation.
• Proficiency with Git and GitHub.
• Ability to work within Linux platforms.
• Experience with software engineering methodologies including unit testing, code reviews, and design documentation.

Key Skills

Education

Any Gradute