Google Cloud Platform Engineer

Location: Phoenix, AZ
Salary: $ USD Annually - $ 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 Big Query, 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 Py Spark ,
  Big Query
  , and other Google Cloud Platform-native services.
• Develop scalable and high-performance data solutions to support analytics, reporting, and machine learning workloads.
• Optimize Big Query 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 Big Query, Dataflow, Dataproc, and Cloud Storage.
• Proficiency in Py Spark 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

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Contact:

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