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Enterprise Solutions Inc

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GCP Data Engineer

New York, NY 10116

Posted: 09/11/2026 Job Number: U282alNyVVlmaW9hR3UzUDRjcnRYUT09 Pay Rate: 60-65 Hourly USD

Job Description


GCP Data Engineer

Position Details

•          Title: GCP Data Engineer

•          Location: New York, NY

•          Employment Type: Permanent

•          Rate - 75

•          Work Mode: Onsite

 

Key Responsibilities

•          Lead the design and development of scalable, secure, and optimized data architecture solutions using GCP BigQuery and Cloud Composer.

•          Architect and implement enterprise ETL/ELT pipelines and orchestration workflows.

•          Design, build, and optimize data models, data warehouses, and transformation workflows.

•          Ensure data quality, integrity, governance, lineage, security, and compliance across enterprise data platforms.

•          Monitor, troubleshoot, and improve pipeline performance, scalability, and reliability.

•          Collaborate with business, analytics, and engineering teams to deliver enterprise data solutions.

•          Maintain architecture documentation, operational runbooks, validation frameworks, and automated testing.

•          Provide technical leadership, mentor team members, and drive GCP data engineering best practices.

Required Skills

•          10–13 years of experience in Data Engineering and Data Architecture.

•          Strong expertise in GCP BigQuery, GCP Cloud Composer, and GCP Bigtable.

•          Hands-on experience developing ETL/ELT pipelines on Google Cloud Platform.

•          Strong Python programming skills.

•          Experience with enterprise data modeling and data warehouse design.

•          Knowledge of data governance, lineage, security, and compliance.

•          Experience with workflow orchestration and pipeline automation.

•          Excellent communication, leadership, and stakeholder management skills.

•          Mandatory Skills: GCP BigQuery, GCP Bigtable, GCP Cloud Composer, Python.

Preferred Experience

•          Experience with enterprise analytics and reporting solutions.

•          Experience mentoring technical teams and leading architecture initiatives.

•          Experience implementing automated testing and operational monitoring frameworks.
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