Lead GCP Engineer

Employer: GameStop, Inc. Location: 625 Westport Parkway, Grapevine, TX 76051

Responsibilities

• Design, develop, and maintain automated CI/CD pipelines using cloud-hosted services on GCP and AWS.
• Develop and support batch and real-time data ingestion pipelines and streaming analytics solutions using standardized architectures.
• Build and operate data processing workflows using GCP services including BigQuery, Cloud Storage, and the Google Cloud SDK (bq, gsutil).
• Develop and manage data orchestration workflows using Airflow (DAGs) to schedule and monitor pipeline execution.
• Implement event-driven and streaming integrations using services such as Pub/Sub and Dataflow, as required by solution design.
• Provision and manage cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform and Chef, while maintaining configuration standards.
• Deploy, operate, and support container-based applications using Kubernetes platforms including Google Kubernetes Engine (GKE) and AWS-managed Kubernetes services, as applicable.
• Implement and maintain monitoring, alerting, and performance health checks to ensure the availability and reliability of cloud infrastructure and data pipelines.
• Develop and enhance ETL automation using cloud-centric tools, Terraform automation, and scripting with Python and shell scripting.
• Collaborate with leadership, architects, and development teams to translate requirements into scalable cloud and data engineering solutions.
• Conduct code reviews and mentor engineers to improve code quality and support DevOps deployment processes.
• Write and validate SQL queries to verify datasets and troubleshoot data processing issues.

Qualifications

• Bachelor’s degree in Information Technology, Engineering (Any), Analytics, or a related field of study AND Five (5) years of experience in the job offered or related occupation in which the required experience was gained.
• Demonstrated experience with Google Cloud Platform (GCP) or comparable public cloud platforms, including hands-on use of managed cloud services.
• Using BigQuery, Cloud Storage, and the Google Cloud SDK, including tools (bq and gsutil).
• Building and maintaining data workflows using Apache Airflow (DAGs), cloud data processing services (Dataflow) and messaging/streaming services (Pub/Sub).
• Developing and maintaining CI/CD pipelines using tools (GitLab, Jenkins/Drone), and build tools (Maven).
• Provisioning and managing cloud infrastructure using Infrastructure as Code (IaC) tools (Terraform) and configuration management tools (Chef).
• Object-oriented programming using Python and/or Java, including applying common design patterns.
• Shell scripting and Python for automation.
• Working knowledge of SQL, including the ability to write queries to validate and verify datasets.
• Working in environments that follow Agile development practices.

Pay

$146,515.00/year

Schedule

Monday – Friday, 9:00 am to 5:00 pm