Description

You will engineer and maintain large-scale data pipelines within the Google Cloud Platform environment.

This role is on-site.

Responsibilities

• Build and maintain data pipelines capable of handling very large data volumes.
• Develop solutions leveraging Dataflow, DataProc, and BigQuery.
• Implement and optimize data warehousing principles and ETL processes.
• Write advanced, optimized SQL queries for BigQuery.
• Apply object-oriented programming principles using Python and PySpark APIs.

Required Skills

• 12+ years of professional experience in data engineering.
• Expertise in Python and PySpark APIs.
• Deep understanding of ETL concepts and data warehousing.
• Proficiency in writing complex, optimized SQL for BigQuery.
• Hands-on experience with GCP services (Dataflow, DataProc).
• Experience with Java and Scala.
• Familiarity with CI/CD pipelines (Jenkins, GitHub Actions).

Preferred Skills

• Strong command of SQL.

Key Skills

Education

Bachelor's degree