Sr Cloud Data Engineer
The Judge Group
Melrose Park, IL, United States
20 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
JavaScript (Programming Language)
Artificial Intelligence
Amazon Web Services
Amazon Elastic Compute Cloud
Amazon S3
Data Analysis
ARM Architecture
Mobile Application Development
Cloud Database
Continuous Integration
Information Engineering
+27 more
Extract Transform Load (ETL)
Data Migration
Data Warehousing
Decision Support Systems
Identity and Access Management
Python (Programming Language)
Standard Sql
TypeScript
Enterprise Data Management
Spring Cloud
Snowflake
Cloudformation
Amazon Relational Database Service
Kubernetes
Information Technology
Data Analytics
AWS Fargate
Apache Kafka
Data Management
Machine Learning Operations
Cloud Migration
Functional Programming
Data Delivery
Streamlit Framework
Terraform
Data Pipelines
Docker
Job description
Seeking a Senior Cloud Data Engineer to help build and evolve our Enterprise Data Platform, enabling data-driven decision making, AI innovation, and cloud modernization across the organization., * Design and develop enterprise-scale cloud data solutions.
- Build resilient, secure, and high-performing data platforms.
- Develop data migration, data delivery, and ML pipelines.
- Partner with Data Engineering, Architecture, Product, and Data Science teams.
- Drive automation through CI/CD, Infrastructure as Code, and cloud-native tooling.
- Help shape next generation of AI and analytics capabilities.
Requirements
- Strong experience with Snowflake Native Pipelines, Native Apps, Streamlit, and Python-based container services
- Hands-on experience with Snowflake Cortex AI and AI-driven solutions
- Proficiency in Python and experience with Java, Go, or TypeScript/JavaScript
- Deep expertise in AWS (S3, Lambda, EC2, RDS, IAM, CloudFormation, Terraform)
- Experience building data platforms, ETL/ELT pipelines, and cloud-native applications
- Strong understanding of CI/CD, automation, security, and IAM policies, * 6+ years in Data Engineering, Platform Engineering, Analytics, or related fields
- 4+ years of hands-on AWS experience
- Strong SQL and Python development skills
- Bachelor’s degree in Computer Science, Engineering, or related field
- Snowflake, Redshift, or modern cloud data warehouses
- Kafka or enterprise streaming platforms
- Kubernetes, Docker, or AWS Fargate
- AWS migrations and cloud modernization initiatives
- Strong IAM, security, and cloud governance experience
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