Role: GCP Data Engineer (Data Engineering & Analytics / Cloud Migration)

Location: phoenix , AZ / Philadelphia, PA

Competencies

Must-Have:

Strong experience in GCP (Google Cloud Platform) data engineering and analytics solutions

Proven expertise in migrating legacy data warehouses to Google Cloud data warehouses (BigQuery)

Hands-on experience with ETL/ELT pipeline design, data modeling, and data integration in GCP

Proficiency in Python, SQL, and data transformation frameworks (e.g., Dataflow, Dataproc, or Apache Beam)

Experience with Google Cloud Storage, BigQuery, and Pub/Sub for scalable data processing

Strong understanding of data governance, quality, and performance optimization

Good-to-Have:

Familiarity with CI/CD pipelines and DevOps practices in data environments

Experience in reporting and analytics tools (Looker, Power BI, Tableau)

Knowledge of Airflow, Cloud Composer, or similar orchestration frameworks

Prior experience in data warehouse modernization or cloud migration projects

Excellent communication and collaboration skills for cross-functional team coordination

Responsibilities

Lead the migration of legacy data warehouse systems to Google Cloud Platform (BigQuery)

Design, build, and optimize data pipelines and ETL/ELT processes for scalable cloud-based data processing

Implement data architecture best practices to ensure performance, scalability, and reliability

Work closely with stakeholders to define data models, governance standards, and quality checks

Collaborate with analytics teams to ensure data availability for reporting and business intelligence

Monitor, troubleshoot, and enhance data workflows using GCP-native tools and DevOps principles

Support data validation, testing, and documentation throughout migration phases

Drive continuous improvement in data engineering processes and platform efficiency