Description

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

Responsibilities

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

Required Skills

  • 5+ years of experience in data engineering.
  • Proficiency with Python and object-oriented/object-functional scripting.
  • Strong experience with relational SQL databases.
  • Experience with Google Cloud Platform (GCP).
  • Hands-on 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

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