GCP Data Engineer

Capgemini • Nashville, TN

10h • Hybrid

About The Position

Looking for a GCP Data Engineer with strong Data Engineering experience to build and maintain complex technology initiatives. Your role will involve hands-on development and implementation of data platforms on Google Cloud Platform.

Requirements

• 3+ years of overall IT experience with 3+ years specifically in cloud data engineering.
• Proven experience building and deploying GCP-based data pipelines.
• Background with large enterprise data programs across industries.
• Deep expertise in Google Cloud Platform, including BigQuery, Cloud Storage, Dataflow (Apache Beam), Pub/Sub, Dataproc (Spark), and Composer (Airflow).
• Strong knowledge of data modeling, ETL/ELT, streaming architectures, and SQL.
• Experience with CI/CD, Terraform, and DataOps practices.
• Google Professional Data Engineer Certification.
• Strong communication and stakeholder management abilities.
• Ability to explain technical concepts to technical and non-technical audiences.
• Experience working in global, distributed teams.
• Passion for innovation, engineering excellence

Nice To Haves

• Exposure to AI/ML enablement on GCP (Vertex AI is a plus).

Responsibilities

• Build, develop, and maintain end-to-end data pipelines (ETL/ELT) on Google Cloud Platform.
• Implement data ingestion, processing, storage, and analytics using BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and Composer.
• Implement modern data lakehouse and data warehouse architectures aligned with analytics and AI use cases.
• Ensure data quality, validation, and adherence to data governance and security standards.
• Develop infrastructure as code using Terraform or equivalent tools.
• Collaborate with architects and platform teams on CI/CD, DataOps, and monitoring strategies.
• Apply GCP security best practices, including IAM, networking, encryption, and compliance controls.
• Partner with business and technology stakeholders to translate technical designs into functional, efficient code.
• Act as a technical developer on cloud data modernization and GCP best practices.
• Support solution implementation, including testing, debugging, and production support.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees