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GCP Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer with a 12-month contract in Atlanta, GA. Requires 10+ years of experience, expertise in GCP services, strong SQL and Python skills, and experience in ETL processes and large datasets.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
March 28, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
On-site
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Atlanta, GA
🧠 - Skills detailed
#Data Warehouse #Data Engineering #Dataflow #Scala #GCP (Google Cloud Platform) #SQL (Structured Query Language) #Datasets #"ETL (Extract #Transform #Load)" #Cloud #Data Pipeline #Data Science #Python #Programming #Storage #BigQuery #Consul #Computer Science #Consulting
Role description
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About Doyensys:

Doyensys is a Management & Technology Consulting company with expertise in Enterprise applications, Infrastructure Platform Support, and solutions. Doyensys helps clients to harness the power of innovation to thrive on change. The company leverages its technology expertise, global talent, and extensive industry experience to deliver powerful next-generation IT services and solutions. Doyensys Inc has operations in India, the US, Mexico, and Canada.

Job Title : GCP Data Engineer

Duration : 12 months

Job Type : Contract on W2

Location : Atlanta, GA (Onsite)

Overall experience : 10+ years is required

Job Overview:

We are looking for a highly skilled Data Engineer with expertise in Google Cloud Platform (GCP) to join our growing team. As a GCP Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines, data warehouses, and analytics solutions that enable our organization to make data-driven decisions. You will work closely with data scientists, analysts, and other engineering teams to optimize data flow, transformation, and storage across the organization.

Required Qualifications:

   • Bachelor's degree in Computer Science, Engineering, or related field.

   • 9+ years of hands-on experience working as a Data Engineer with a strong focus on Google Cloud Platform (GCP).

   • Strong proficiency with GCP services such as BigQuery, Dataflow, Cloud Storage, Cloud Pub/Sub, Cloud SQL, and Cloud Dataproc.

   • Hands-on experience in building ETL processes and working with large-scale datasets.

   • Experience in SQL, Python, and other data-related programming languages.