Cloud Data Engineer(Python)

Premier Inn Hotels LLC (UAE); Plano (TX); On-site; USD 130,000 - 190,000; Full time

Job summary

Premier Inn Hotels LLC (UAE) is seeking a Senior Cloud Data Engineer to design, develop, and maintain scalable data platforms on AWS. You will work across data engineering, cloud infrastructure, automation, and data governance to deliver secure solutions at scale.

The ideal candidate combines strong AWS data engineering and Python skills with experience in Snowflake, Terraform, and CI/CD. You will design cloud data pipelines, implement governance, and collaborate with cross-functional teams.

Qualifications

• 6+ years of professional experience in cloud data engineering.
• Hands-on experience developing data solutions on AWS.
• Experience with Snowflake and Terraform.

Responsibilities

• Design and develop scalable cloud data pipelines and data lake solutions on AWS.
• Build and maintain data processing workflows using AWS Glue, S3, Lambda, and Step Functions.
• Implement data governance, security, and access controls with AWS Lake Formation.
• Develop automation and integrations using Python, Boto3, and AWS APIs.
• Build and manage cloud infrastructure using Terraform.
• Develop, test, and deploy data pipelines using CI/CD practices.
• Collaborate with engineers and stakeholders to deliver reliable data solutions.

Skills

AWS

Python development

Data governance

Cloud data engineering

CI/CD practices

Tools

AWS Glue

Amazon S3

AWS Lambda

AWS Step Functions

AWS Lake Formation

Terraform

Snowflake

Job description

Plano, United States | Posted on 10/02/2026

Work Authorization: US Citizen, Green Card, or GC EADpreferred
Locals highly preferred
No C2C, 1099, or third-party profiles accepted.

We arelooking for a Senior Cloud Data Engineer to design, develop, andmaintain scalable data platforms and data pipelines on AWS. You will workacross data engineering, cloud infrastructure, automation, and data governanceto deliver reliable and secure solutions at scale.

The idealcandidate combines strong AWS data engineering and Python development skills with experience in Snowflake, Terraform, and CI/CD.

Responsibilities

• Designand develop scalable cloud data pipelines and data lake solutions using AWS.
  
• Buildand maintain data processing workflows using AWS Glue, S3, Lambda, andStep Functions.
  
• Implementdata governance, security, and access controls using AWS Lake Formation.
  
• Developautomation and integrations using Python, Boto3, and AWS APIs.
  
• Buildand manage cloud infrastructure using Terraform.
  
• Develop,test, and deploy applications and data pipelines using CI/CD practices.
  
• Workwith Snowflake and other modern data platforms to support dataintegration and analytics.
  
• Monitor,troubleshoot, and optimize production workloads using CloudWatch andSplunk.
  
• Partnerwith engineers, architects, and stakeholders to deliver reliable andscalable data solutions.
  
• Usemodern AI-assisted development tools such as GitHub Copilot, Claude,and agentic workflows to improve engineering productivity.
  

MinimumQualifications

• 6+years of professional experience in cloud data engineering or a relatedfield.
  
• Hands-onexperience developing data solutions on AWS.
  
• Strongexperience with:
  
• AWSGlue
  
• AmazonS3
  
• AWSLambda
  
• AWSStep Functions
  
• AWSLake Formation
  
• Experiencewith Snowflake.
  
• Experiencewith Terraform and Infrastructure as Code.
  
• Experiencewith CI/CD, Git/Bitbucket, and Jenkins.
  
• Experiencewith software testing, release processes, and production deployments.
  
• Strongunderstanding of data lake architecture, data pipelines, and cloud dataengineering practices.
  

PreferredQualifications

• Experiencewith Databricks and Apache Spark.
  
• Experiencewith AWS Athena, EMR, or Redshift.
  
• Experiencewith Control-M or other enterprise scheduling platforms.
  
• Experiencewith AWS CLI and Boto3.
  
• Experiencewith Java or Scala.
  
• Experiencewith ServiceNow.
  
• Experiencewith AWS CloudWatch and Splunk.
  
• Knowledgeof Snowflake Horizon Catalog or Databricks Unity Catalog.
  
• Experienceapplying AI-assisted development tools, including Copilot, Claude,or agentic workflows.
  
• Experiencewith cloud data governance, security, and access management.