Senior GCP Data Engineer: Build Real-Time Data Platforms

Capgemini; Nashville (TN); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Paid time off

401(k) retirement plan

Health insurance

Employee benefits package

Job summary

Capgemini is seeking a Senior Data Engineer with deep Google Cloud Platform expertise to design and optimize enterprise-scale data platforms and pipelines. The role emphasizes cloud-native data engineering, distributed processing, and data governance while leading DevOps practices and data engineering standards.

The successful candidate will bring hands-on proficiency in GCP services (BigQuery, Dataflow, Dataproc, Pub/Sub, Composer), Spark/Beam, and Terraform, with 8+ years in data engineering

Qualifications

• GCP Certifications (e.g., Professional Data Engineer).
• Experience with real-time processing, Vertex AI, or multi-cloud environments.
• Bachelor’s degree in CS, IS, Eng, or related field.
• 8+ years in data engineering or big data technologies.
• Strong programming: SQL, Python, Java/Scala.
• Hands-on with Spark, Beam; GCP services: BigQuery, Dataflow, Dataproc, Pub/Sub, Composer.
• DevOps practices: CI/CD, Git, IaC (Terraform).
• Data modeling, ETL/ELT, cloud data architectures.

Responsibilities

• Design, develop, and optimize enterprise-scale data platforms and data pipelines.
• Lead best practices across the data engineering organization.
• Work with real-time processing and multi-cloud environments.

Skills

GCP Certifications

SQL

Python

Java/Scala

Apache Spark

Apache Beam

BigQuery

Dataflow

Dataproc

Pub/Sub

Composer (Airflow)

Terraform

CI/CD

Git

Infrastructure as Code

Data modeling

ETL/ELT

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Google Cloud Platform

BigQuery

Dataflow

Dataproc

Pub/Sub

Composer

Airflow

Terraform

Git

CI/CD tooling

Job description

Capgemini is seeking a Senior Data Engineer with deep Google Cloud Platform expertise to design and optimize enterprise-scale data platforms and pipelines. The role emphasizes cloud-native data engineering, distributed processing, and data governance while leading DevOps practices and data engineering standards.

The successful candidate will bring hands-on proficiency in GCP services (BigQuery, Dataflow, Dataproc, Pub/Sub, Composer), Spark/Beam, and Terraform, with 8+ years in data engineering