Senior GCP Data Engineer

JPS Tech Solutions; Charlotte (NC); On-site; USD 120,000 - 160,000; Full time

Job summary

JPS Tech Solutions in Charlotte, NC is seeking an experienced GCP Data Engineer to design and build scalable cloud data platforms, data lakes, and data warehouses on Google Cloud.

You will develop data pipelines with Dataflow, Pub/Sub, Dataproc, and BigQuery, implement storage on Cloud Storage, and apply IaC with Terraform.

Join a team that collaborates with engineers, architects, and stakeholders to deliver reliable, secure data solutions.

Responsibilities

• Design, build, and maintain end-to-end cloud data platforms, data lakes, and data warehouses on GCP.
• Develop scalable data pipelines using Dataflow, Pub/Sub, Dataproc, and BigQuery.
• Implement and optimize data storage solutions using Google Cloud Storage.
• Develop robust data ingestion, transformation, processing, and integration workflows.
• Build infrastructure using Terraform and follow Infrastructure-as-Code best practices.
• Collaborate with data engineers, architects, and business stakeholders to deliver scalable cloud data solutions.
• Ensure solutions meet performance, security, reliability, and scalability requirements.

Job description

Job Description

We are seeking an experiencedGCP Data Engineerwithstrong hands-on experience building end-to-end cloud data platforms, data lakes, and data warehouses on Google Cloud.

Key Responsibilities

• Design, build, and maintainend-to-end cloud data platforms, data lakes, and data warehouseson GCP.
• Develop scalable data pipelines usingDataflow, Pub/Sub, Dataproc, and BigQuery.
• Implement and optimize data storage solutions usingGoogle Cloud Storage.
• Develop robust data ingestion, transformation, processing, and integration workflows.
• Build infrastructure usingTerraformand follow Infrastructure-as-Code best practices.
• Collaborate with data engineers, architects, and business stakeholders to deliver scalable cloud data solutions.
• Ensure solutions meet performance, security, reliability, and scalability requirements.