GCP Data engineer required in TX(6+yrs exp. needed) - Onsite

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Radha Venkatraman

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Jun 17, 2025, 12:10:55 PM6/17/25

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Dear friends,

Please respond with suitable profiles with contact details, visa copy, DL, Passport number and linkedin for the below urgent requirement.

Position: GCP Data engineer(6+yrs exp. Needed)

Location: Dallas, TX – Onsite

Type: long term contract

Rate: open

Position summary:

Job summary : Data Engineer Perform Data Engineer Activities

Experience : 6to10Yrs

Required Skills : ,Python,PySpark,SQL,Cloud Composer,Cloud Dataflow,Cloud Dataproc,Google Big Query

Responsibilities : GCP Data Engineer will create, deliver, and support custom data products, as well as enhance expand team capabilities.

They will work on analyzing and manipulating large datasets supporting the enterprise by activating data assets to support Enabling Platforms and analytics.

Google Cloud Data Engineers will be responsible for designing the transformation and modernization on Google Cloud Platform using GCP Services Responsibilities Build data systems and pipelines on GCP Cloud using Data proc, Data Flow, Data Fusion, Big query and Pub Sub Implement schedules workflows and tasks for Cloud Composer Apache Airflow.

Create and manage data storage solutions using GCP services such as BigQuery, Cloud Storage, and Cloud SQL Monitor and troubleshoot data pipelines and storage solutions using GCPs Stackdriver and Cloud Monitoring Develop efficient ETL ELT pipelines and orchestration using Data Prep, Google Cloud Composer Develop and Maintain Data Ingestion and transformation process using Apache PySpark, Dataflow Automate data processing tasks using scripting languages such as Python or Bash Ensuring data security and compliance with industry standards by configuring IAM roles, service accounts, and access policies.

Automating cloud deployments and infrastructure management using Infrastructure as Code (IaC) tools such as Terraform or Google Cloud Deployment Manager.

Participate in Code reviews, contribute to development best practices and usage of Developer Assist tools to create a robust fail-safe data pipelines Collaborate with Product Owners, Scrum Masters and Data Analyst to deliver the User Stories and Tasks and ensure deployment of pipelines

Regards,

Radha Venkatraman

Recruitment Lead
ReqRoute,Inc
Desk: 408-600-2008; Fax: 888-400-2698
Email: ra...@reqroute.com

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