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Capgemini Linkedin · Posted 6d ago

GCP Data Engineer

Charlotte

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Indexed description

Role: GCP Data Engineer

Location: Charlotte, NC

Hybrid

Employment Type: Full-Time


Role Overview

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
  • Dataproc
  • Pub/Sub
  • Cloud Storage
  • Cloud Composer (Airflow)
  • Cloud Functions
  • Cloud Run
  • Strong SQL programming skills.
  • 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.

Cloud & Data Technologies

  • BigQuery
  • Looker / Looker Studio
  • Dataform
  • Terraform
  • Kubernetes (GKE)
  • Docker
  • Apache Airflow
  • 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

  • GenAI/LLM integration experience.
  • Vertex AI knowledge.
  • MLOps exposure.
  • Real-time streaming using Pub/Sub and Dataflow.
  • Experience with Informatica, Talend, or other ETL tools.


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