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GCP Data Engineer; Fulltime

Job in Princeton, Mercer County, New Jersey, 08543, USA
Listing for: ASB Resources
Full Time position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: GCP Data Engineer (Fulltime)

Responsibilities

  • Own the technology stack in the Google Cloud Platform and help drive the technical direction for our systems, technologies, and architecture.
  • Design architect Data analytics solutions using Google.
  • Utilize Terraform to securely deploy and manage infrastructure as code.
  • Be comfortable working cross-functionally with developers, cloud platform engineers, the business, and Cloud Service Provider on architecture design requirements for cloud application services.
  • Participate in and support application security reviews and threat modelling, including code review and dynamic testing.
  • Provide feedback to Application Portfolio Managers and Architects to help refine service design and security standards.
  • Required Experience
    • Minimum 2 years of hands‑on experience with Cloud using Google Cloud Platform (GCP)
    • Self‑starter with an in‑depth hands‑on work experience with multiple large‑scale implementations of applications in Google Cloud Platform
    • Expert in Data lake, lakehouse, Delta lake design and implementation.
    • Expert in ETLs around Data using Google platform.
    • Knowledge of leveraging Terraform to manage infrastructure as code.
    • Knowledge of and experience migrating, refactoring, and re‑engineering complex enterprise applications from legacy platforms to cloud.
    • Strong understanding and experience with common security libraries, security controls, and common security flaws.
    • Knowledge of and experience designing and managing Cloud controls.
    • Knowledge of Python, R.
    • Handled and designed solutions around structured and unstructured data.
    • Familiar with AI/ML concepts and platform offerings.
    • Broad IT security experience and API security knowledge.
    • Excellent and professional communication skills (written and verbal) with an ability to articulate complex topics in a clear and concise manner.
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