Google Cloud Platform Data Engineer | Richardson, TX | Contract

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Analytics
Cloud Computing
Continuous Delivery
Continuous Integration
Data Flow
Data Quality
Data Warehouse
ELT
Extract
Transform
Load
Git
Good Clinical Practice
Google Cloud
Google Cloud Platform
Machine Learning (ML)
Management
Python
SQL
Scalability
Version Control

Job Details

Hi ,
Greetings !
We do have opening for our client,

Role : Google Cloud Platform Data Engineer
Location : Richardson, TX
Duration : Long-Term Contract
Job Description:
We are seeking a skilled Google Cloud Platform Data Engineer to design, build, and optimize data pipelines and ETL processes on Google Cloud Platform. The role involves working with large datasets, ensuring data quality, and supporting analytics and machine learning initiatives.

Responsibilities:

  • Develop and maintain ETL/ELT pipelines using Dataflow, Dataproc, or Cloud Composer
  • Design and manage data models in BigQuery and Cloud Storage
  • Integrate data from multiple sources for analytics and reporting
  • Optimize data performance, cost, and scalability on Google Cloud Platform
  • Collaborate with data scientists and analysts for business insights

Requirements:

  • 3 7 years of experience in data engineering
  • Strong knowledge of Google Cloud Platform services (BigQuery, Dataflow, Pub/Sub, Dataproc)
  • Proficiency in SQL, Python, or Spark
  • Experience with CI/CD and version control (Git)
  • Familiarity with data warehousing and pipeline automation

With Regards,

Shalman M

Senior Associate - US Staffing

Healthcare Triangle Limited

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