Data Engineer (Google Cloud Platform)

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 3 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

Cloud Computing
Data Architecture
Data Engineering
Data Flow
Data Governance
Data Modeling
Data Security
Data Visualization
ELT
Microsoft Azure
Reporting
SQL
Project Management
Management
Google Cloud
Google Cloud Platform

Job Details

Job Title: Data Engineer (Google Cloud Platform)

Experience: 10+ years

Location: Westchester, IL

Role Overview:

We are seeking a highly experienced Data Engineer to design and deliver scalable data solutions on Google Cloud Platform. This role emphasizes technical leadership, solution architecture, and code quality, while also providing onsite coordination. The ideal candidate will have strong experience in Google Cloud Platform data services, workflow orchestration, and data governance, with exposure to Azure and Power BI as added advantages.

Key Responsibilities:

  • Solution Architecture & Technical Leadership
    • Design end-to-end data architecture on Google Cloud Platform for analytics, governance, and orchestration.
    • Define best practices for data ingestion, transformation, and workflow orchestration.
    • Conduct code reviews, enforce standards, and optimize performance.
    • Provide guidance on data security, data cataloguing, and governance frameworks.
  • Google Cloud Platform Expertise
    • Architect solutions using BigQuery, Dataflow, Dataplex Data Catalog, and Cloud Composer.
    • Architect Data Security using Row Level Security, Column Level Security and Table level access
    • Implement ETL/ELT pipelines, streaming and batch processing.
    • Integrate data governance policies and metadata management using Dataplex.
  • Onsite Coordination
    • Act as the primary technical point of contact for client stakeholders.
    • Collaborate with offshore teams for smooth delivery and issue resolution.
    • Support project planning and ensure alignment with architectural standards.

Technical Skills Required:

  • Google Cloud Platform (Google Cloud Platform):
    • BigQuery: Advanced SQL, performance tuning, partitioning, and optimization.
    • Dataflow: Streaming/batch pipelines using Apache Beam.
    • Cloud Composer: Workflow orchestration using Airflow.
    • Dataplex: Data governance, cataloging, and security policies.
  • Strong understanding of data architecture, data modeling, and integration patterns.
  • Proficiency in Python, SQL, and familiarity with Airflow DAGs.
  • Knowledge of IAM, and security best practices on Google Cloud Platform.
  • Power BI for data visualization and reporting.
  • Added Advantage:
    • Experience with Azure Data Services (Data Factory, Synapse).

Experience:

  • 10 15 years of IT experience with 5+ years in data engineering and architecture.
  • 2+ years of hands-on Google Cloud Platform experience across BigQuery, Dataflow, Dataplex, and Composer.
  • Proven track record in solution design, code reviews, and technical governance.
  • Experience in leading onsite engagements and managing distributed teams.

Preferred Qualifications:

  • Google Cloud Platform Professional Data Engineer or Architect certification.
  • Exposure to data governance frameworks and metadata management.
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