Data Engineer - GCP

About this role

Location:
Denver, CO (Remote)
**Job Summary
The client is seeking a highly skilled
Data Engineer
with deep expertise in
Google Cloud Platform (GCP)
and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementing
Medallion Architecture
, and building robust enterprise-grade data solutions.


This role requires strong technical proficiency in
BigQuery, PySpark, Dataflow, and Airflow
, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices.


Key Responsibilities**

• Design, develop, and maintain scalable batch and real-time data pipelines on GCP
• Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing
• Build high-performance data transformations using Python and PySpark
• Develop and optimize complex SQL queries for analytical workloads
• Work extensively with BigQuery for large-scale data processing and performance tuning
• Develop and deploy pipelines using Cloud Dataflow
• Orchestrate workflows using Cloud Composer (Apache Airflow)
• Manage data storage and lifecycle using Google Cloud Storage (GCS)
• Implement version control and CI/CD pipelines using Git-based tools
• Ensure data security, governance, and access control using GCP IAM
• Optimize data solutions for performance, scalability, reliability, and cost-efficiency

**Required Skills & Experience**

• Strong hands-on experience with Google Cloud Platform (GCP)
• Expertise in BigQuery (partitioning, clustering, query optimization)
• Proven experience implementing Medallion Data Architecture
• Strong programming skills in Python and PySpark
• Advanced proficiency in SQL (complex joins, window functions, performance tuning)
• Hands-on experience with Cloud Dataflow
• Experience with Cloud Composer (Airflow) for orchestration
• Experience working with Google Cloud Storage (GCS)
• Knowledge of version control sys...