GCP Data Engineer

Codetech • Hartford, CT

11h

About The Position

The GCP Data Engineer designs, builds, and maintains scalable data pipelines. The role requires deep expertise in Google Cloud Platform services, particularly BigQuery, Cloud Storage, Cloud Composer (Airflow), and Dataproc, along with proficiency in developing and maintaining ETL/ELT pipelines using Python, SQL, and orchestration tools. The position also involves applying distributed data processing frameworks and data engineering practices to support data modeling, warehousing, and query performance optimization.

Requirements

• 8+ years of experience in data engineering.
• Hands-on expertise designing, building, and maintaining scalable data pipelines.
• Deep expertise in Google Cloud Platform (GCP), especially BigQuery, Cloud Storage, Cloud Composer (Airflow), and Dataproc.
• Proficiency building and maintaining ETL/ELT pipelines using Python, SQL, and orchestration tools.
• Strong understanding of distributed data processing frameworks such as Apache Spark and Hadoop.
• Strong understanding of data modeling, data warehousing, and query performance optimization.
• Experience with CI/CD pipelines, infrastructure as code (Terraform or Cloud Deployment Manager), and DevOps practices in a cloud environment.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Build and maintain ETL/ELT pipelines using Python, SQL, and orchestration tools.
• Work with GCP services, especially BigQuery, Cloud Storage, Cloud Composer (Airflow), and Dataproc.
• Apply data modeling, data warehousing, and query performance optimization practices.
• Work with CI/CD pipelines, infrastructure as code, and DevOps practices in a cloud environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed