GCP Data Engineer — Python Pipelines & Analytics

Socket.dev; New York (NY); On-site; USD 115,000 - 145,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision coverage

Retirement savings plans

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is seeking a skilled GCP Python Data Engineer in the United States to design, build, and optimize scalable cloud-based data solutions on Google Cloud Platform. The role emphasizes Python development, data pipelines, and analytics workloads.

You will collaborate with stakeholders and engineers to deliver reliable data platforms, implement CI/CD, and ensure performance, security, and cost efficiency in production environments. Capgemini offers a comprehensive benefits package.

Qualifications

• 5+ years of data engineering, software engineering, or related experience.
• 2+ years of hands-on Google Cloud Platform (GCP) experience.
• 2+ years of professional Python development experience.
• Experience developing batch and real-time data pipelines.

Responsibilities

• Design, develop, and optimize ETL/ELT pipelines for structured and unstructured data.
• Build scalable batch and streaming data processing solutions using GCP technologies.
• Develop event‑driven data processing solutions leveraging Pub/Sub and Cloud Functions.
• Create and maintain data ingestion frameworks for enterprise data platforms.
• Develop robust Python‑based solutions and CI/CD pipelines.
• Automate orchestration and workflow management using Cloud Composer (Airflow).
• Implement testing, monitoring, and observability practices.

Skills

GCP experience

Python development

SQL

Data pipelines

ETL/ELT

Cloud-native

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Functions

Cloud Composer

Cloud Storage

Cloud SQL

IAM

Cloud Monitoring

Cloud Logging

Job description

Capgemini is seeking a skilled GCP Python Data Engineer in the United States to design, build, and optimize scalable cloud-based data solutions on Google Cloud Platform. The role emphasizes Python development, data pipelines, and analytics workloads.

You will collaborate with stakeholders and engineers to deliver reliable data platforms, implement CI/CD, and ensure performance, security, and cost efficiency in production environments. Capgemini offers a comprehensive benefits package.