Google Cloud Platform Data Engineer

  • Dearborn, MI
  • Posted 5 hours ago | Updated 5 hours ago

Overview

On Site
USD 62.00 - 68.00 per hour
Full Time

Skills

Marketing Intelligence
MI
Fusion
Machine Learning (ML)
Collaboration
Data Quality
Workflow
Continuous Integration
Continuous Delivery
Terraform
Jenkins
Data Storage
Regulatory Compliance
Computer Science
Analytics
Application Development
Cloud Computing
Data Engineering
Google Cloud
Google Cloud Platform
Data Flow
SQL
Python
Java
Real-time
Data Processing
Life Insurance
Law
Privacy
Security Clearance
LOS

Job Details

Akkodis is seeking a Google Cloud Platform Data Engineer for a contract job with a client in Dearborn, MI. You willdesign and deploy scalable data engineering solutions on Google Cloud Platform using tools like BigQuery, Dataflow, and Pub/Sub to support enterprise analytics.

Rate Range: $62/hour to 68/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.

Google Cloud Platform Data Engineer job responsibilities include:
  • Design and implement scalable data pipelines on Google Cloud Platform using tools like BigQuery, Dataflow, Pub/Sub, and Data Fusion.
  • Ingest, transform, and integrate large datasets from various sources to support analytics and machine learning initiatives.
  • Collaborate with cross-functional teams to define data requirements, build reusable data products, and ensure data quality and governance.
  • Automate data workflows and CI/CD pipelines using tools like Terraform, Jenkins, and Cloud Composer for efficient deployment and monitoring.
  • Optimize data storage and processing performance while ensuring security, reliability, and compliance with enterprise standards.
  • Support real-time and batch data processing and contribute to the modernization of data platforms using Google Cloud Platform-native services.


Required Qualifications:
  • Bachelor's or master's degree in computer science, Data Engineering, or a related technical field.
  • Minimum of 5 years in analytics application development and 3+ years in cloud-based data engineering (Google Cloud Platform preferred).
  • Proven experience designing and deploying data pipelines using Google Cloud Platform services such as BigQuery, Dataflow, Pub/Sub, and Airflow.
  • Strong proficiency in SQL and Python or Java, with hands-on experience in real-time and batch data processing at production scale.


If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at Anurag.Soni@

Pay Details: $62.00 to $68.00 per hour

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.

Equal Opportunity Employer/Veterans/Disabled

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