Google Cloud Platform Data Engineer

Austin, TX, US • Posted 2 hours ago • Updated 2 hours ago

Contract W2

No Travel Required

On-site

Depends on Experience

Giga Cloud Services

Fitment

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Job Details

Skills

Summary

Google Cloud Platform Data Engineer – Austin, TX

Job Title: Google Cloud Platform Data Engineer
Location: Austin, TX (Local Only)

Rate: Up to $48/hr on W2 (Max)
NO OPT & CPT
Interview Mode: Face-to-Face
Only Local Candidates Preferred

Job Type: Long-Term Contract

Job Description:
Looking for a Google Cloud Platform Data Engineer with strong experience in cloud-based data solutions.

Required Skills:

Google Cloud Platform (BigQuery, Dataflow)
Python, SQL
Data Pipelines / ETL
Cloud Architecture
Data Modeling

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91173074
Position Id: 8929214
Posted 2 hours ago

Company Info

About Giga Cloud Services

Giga Cloud Services is a leading US information technology, consulting and outsourcing company. We are in the business of helping IT organizations operate more productively and profitably through a full spectrum of specialized staffing and project implementation products and services.

We ensure the highest levels of certainty and satisfaction through a deep-set commitment to our clients. We specialize in the areas of Java Fullstack/Backend, .Net, UI, DevOps, Oracle Cloud, Python, Dell Boomi, Data Engineer, GCP (Google Cloud Platform), AEM (Adobe Experience Manager), QA, Systems Integration/EAI, ERP Functionality Extension, Business/Data Warehousing, Sales Force Automation/CRM, Middleware Functionality Templates, and Custom Application Development for vertical markets including telecommunications, healthcare, financial services, insurance, and energy. We deliver qualified consultants and project managers for both contract and ongoing requirements across all science and technology disciplines.

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