Description

You will build and optimize data infrastructure on Google Cloud Platform, owning the full lifecycle of data pipelines and warehousing solutions.

This role is hybrid.

Responsibilities

• Build data pipelines capable of handling massive data volumes.
• Develop scalable solutions using Dataflow, Dataproc, and BigQuery.
• Write and optimize complex SQL queries in BigQuery.
• Apply deep ETL concepts and data warehousing principles.

Required Skills

• 12+ years of professional software engineering experience.
• Expertise in object-oriented programming with Python.
• Proficiency with PySpark APIs and large-scale data processing.
• Strong command of SQL, from basic to advanced.
• Hands-on experience with GCP services, including Cloud Data Migration Service (DMS).
• Familiarity with Apache Airflow for data orchestration.
• Working knowledge of Java or Scala.

Preferred Skills

• Experience with CI/CD pipelines using Jenkins or GitHub Actions.

Key Skills

Education

Bachelor's degree