Google Cloud Platform Engineer

Phoenix, AZ, US • Posted 30+ days ago • Updated 2 hours ago
Full Time
On-site
USD $120,000.00 - 125,000.00 per year
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Job Details

Skills

  • Performance Tuning
  • Analytics
  • Reporting
  • Machine Learning (ML)
  • Scalability
  • Data Quality
  • Cloud Architecture
  • Operational Excellence
  • Data Engineering
  • Google Cloud Platform
  • Google Cloud
  • Data Flow
  • Cloud Storage
  • PySpark
  • Python
  • Data Processing
  • Data Modeling
  • Extract
  • Transform
  • Load
  • Orchestration
  • Cloud Computing
  • Workflow
  • Conflict Resolution
  • Problem Solving
  • Agile
  • Privacy
  • Marketing

Summary

Location: Phoenix, AZ
Salary: $120,000.00 USD Annually - $125,000.00 USD Annually
Description:
Role: Google Cloud Platform Engineer

Location: Phoenix, AZ (Onsite)

Fulltime

Job description:

We are seeking an experienced Google Cloud Platform Data Engineer with strong expertise in BigQuery, PySpark, and Python to design, build, and optimize scalable data pipelines and analytics solutions on the Google Cloud Platform. The ideal candidate will have a deep understanding of distributed data processing, performance optimization, and cloud-native architecture.

Key Responsibilities
  • Design and implement end-to-end data pipelines and ETL processes using PySpark, BigQuery, and other Google Cloud Platform-native services.
  • Develop scalable and high-performance data solutions to support analytics, reporting, and machine learning workloads.
  • Optimize BigQuery queries and data models for performance, scalability, and cost efficiency.
  • Work closely with cross-functional teams to integrate data from multiple sources and ensure data quality and reliability.
  • Apply best practices for cloud architecture, security, and operational excellence on the Google Cloud Platform.


Required Skills & Qualifications
  • 8+ years of experience in data engineering or related roles.
  • Strong hands-on experience with Google Cloud Platform, specifically BigQuery, Dataflow, Dataproc, and Cloud Storage.
  • Proficiency in PySpark and Python for large-scale data processing.
  • Solid understanding of data modelling, ETL orchestration, and distributed systems.
  • Ability to troubleshoot performance issues and optimize cloud-based data workflows.
  • Strong problem-solving skills and ability to work in collaborative, agile environments

By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

Contact:

This job and many more are available through The Judge Group. Please apply with us today!
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: cxjudgpa
  • Position Id: 1120475
  • Posted 30+ days ago

Company Info

About Judge Group, Inc.

The Judge Group, is a leading professional services firm specializing in talent, technology, and learning solutions. We consult, staff, train, and solve. Through our work we make people and organizations better.

Our services are successfully delivered through a network of more than 30 offices across the United States, Canada, and India. The Judge Group is proud to partner with the best and brightest companies in business today, including over 60 of the Fortune 100. We serve organizations in financial services, healthcare, life sciences, insurance, government (including aerospace and defense), manufacturing, and technology and telecommunications.

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