Google Cloud Platform Data Engineer :: Phoenix, AZ

Role Overview:

We are seeking a skilled Google Cloud Platform Data Engineer to design, build, and optimize scalable data pipelines using Google Cloud Platform services. The ideal candidate will have hands-on experience with big data technologies and Google Cloud Platform-native tools, especially within the Lumi ecosystem.

Key Responsibilities:

• Design and develop scalable data pipelines on Google Cloud Platform

• Work with large datasets using BigQuery and Cloud Storage

• Build and manage workflows using Cloud Composer (Airflow DAGs)

• Develop and optimize ETL processes using Dataflow and Dataproc

• Ensure data quality, reliability, and performance optimization

• Collaborate with cross-functional teams to deliver data solutions

• Implement best practices for data governance and security

Required Skills:

Google Cloud Platform, BigQuery, Cloud Storage, Cloud Composer, Dataflow, Dataproc, DAGs, ETL, Python, SQL, Apache Airflow, Data Engineering, Big Data

Nice to Have:

• Experience with Lumi (Google Cloud Platform-based data ecosystem)

• Prior AMEX experience (not mandatory)