GCP Data Engineer

Capgemini; Charlotte (NC); On-site; USD 110,000 - 150,000; Full time

Job summary

Capgemini in Charlotte, NC is seeking a Google Cloud Platform Data Engineer to design, build, and optimize scalable data pipelines and cloud‑based data solutions. The ideal candidate will have hands‑on experience with GCP services, modern data architectures, ETL/ELT processes, and data warehousing technologies to support BI, analytics, and AI/ML initiatives.

You will work with GCP services such as BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Dataflow to develop data solutions, create data

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related discipline.
• 4+ years of Data Engineering experience.
• 2+ years of hands‑on GCP experience.
• Experience working in Agile/Scrum environments.
• Excellent problem‑solving and communication skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines on Google Cloud Platform.
• Build and optimize ETL/ELT processes for ingesting data from multiple sources.
• Develop data solutions using BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Cloud Composer.
• Create and manage enterprise‑scale data warehouses and data lakes.
• Implement batch and real‑time data processing frameworks.
• Ensure data quality, governance, security, and compliance standards.
• Optimize BigQuery queries and cloud infrastructure for performance and cost efficiency.
• Work closely with Data Analysts, Data Scientists, Business Analysts, and Application Teams.
• Monitor pipeline performance and troubleshoot data‑related issues.
• Support CI/CD implementation and automation of data engineering workflows.
• Document technical designs, architecture, and operational procedures.
• Participate in cloud migration and modernization initiatives.

Skills

GCP

ETL/ELT

Data modeling

Python/Java/Scala

CI/CD

Data warehousing

Looker/Looker Studio

Data Governance

Spark/Hadoop

Education

Bachelor's/Master's in CS/IT/Engineering

Tools

BigQuery

Dataflow

Pub/Sub

Cloud Composer

Cloud Functions

Cloud Storage

Dataform

Terraform

Docker

Kafka

Job description

We are seeking a highly skilled Google Cloud Platform (GCP) Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data solutions. The ideal candidate will have hands‑on experience with GCP services, modern data architectures, ETL/ELT processes, and data warehousing technologies to support business intelligence, analytics, and AI/ML initiatives.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines on Google Cloud Platform.
• Build and optimize ETL/ELT processes for ingesting data from multiple sources.
• Develop data solutions using BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Cloud Composer.
• Create and manage enterprise‑scale data warehouses and data lakes.
• Implement batch and real‑time data processing frameworks.
• Ensure data quality, governance, security, and compliance standards.
• Optimize BigQuery queries and cloud infrastructure for performance and cost efficiency.
• Work closely with Data Analysts, Data Scientists, Business Analysts, and Application Teams.
• Monitor pipeline performance and troubleshoot data‑related issues.
• Support CI/CD implementation and automation of data engineering workflows.
• Document technical designs, architecture, and operational procedures.
• Participate in cloud migration and modernization initiatives.

Required Skills

Technical Skills

• Strong experience with Google Cloud Platform (GCP).
• Hands‑on expertise with:
• BigQuery
• Dataflow
• Pub/Sub
• Cloud Composer (Airflow)
• Cloud Functions
• Experience with Python, Java, or Scala.
• Expertise in ETL/ELT development and data integration.
• Knowledge of data modeling techniques (Star Schema, Snowflake Schema).
• Experience with Apache Spark and Hadoop ecosystem.
• Understanding of data warehousing concepts.
• Familiarity with version control tools such as Git.
• Exposure to CI/CD tools and DevOps practices.
• BigQuery
• Looker / Looker Studio
• Dataform
• Terraform
• Docker
• Kafka (preferred)

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related discipline.
• 4+ years of Data Engineering experience.
• 2+ years of hands‑on GCP experience.
• Experience working in Agile/Scrum environments.
• Excellent problem‑solving and communication skills.

Preferred Qualifications

• GCP Professional Data Engineer Certification.
• Experience supporting AI/ML workloads.
• Knowledge of Data Governance and Data Quality frameworks.
• Financial Services, Banking, Insurance, or Healthcare domain experience preferred.
• Experience migrating on‑premise data platforms to GCP.

Nice to Have

• Vertex AI knowledge.
• Real‑time streaming using Pub/Sub and Dataflow.
• Experience with Informatica, Talend, or other ETL tools.