Overview
On Site
Full Time
Skills
Data Link Layer
Amazon EC2
Amazon S3
Amazon RDS
Remote Desktop Services
Amazon DynamoDB
Collaboration
Scalability
Migration
Legacy Systems
IaaS
Data Analysis
Visualization
Microsoft Power BI
Tableau
Cloud Computing
Computer Science
Software Development
Cloud Architecture
Java
Python
Node.js
React.js
Docker
Kubernetes
Continuous Integration
Continuous Delivery
Terraform
Business Intelligence
Data Visualization
Artificial Intelligence
Machine Learning (ML)
Amazon Web Services
SAP MM
Job Details
A client of Sharp Decisions if looking for a Data Engineer. This role is ONSITE in Torrance, CA- a multi-year contract with no end date, W2 only.
Daily Task Performed:
Architect and design cloud-native applications using AWS services such as EC2, Lambda, S3, RDS, DynamoDB, ECS, EKS, and more.
Write clean, efficient, and maintainable code in Java, Python, Node.js, and React.js to prototype and implement core architectural components.
Define and document architecture standards, best practices, and guidelines.
Collaborate with engineering teams to ensure alignment with architectural vision and scalability goals.
Lead the migration of legacy systems to AWS cloud infrastructure.
Design and implement CI/CD pipelines using Terraform, AWS CloudFormation, and AWS CDK.
Integrate data analysis and visualization tools (e.g., Amazon QuickSight, Power BI, Tableau) into cloud solutions.
Position Success Criteria (Desired) - 'WANTS'
Bachelors or Masters degree in Computer Science, Engineering, or related field.
10+ years of software development experience, with 4+ years in cloud architecture (AWS).
Strong knowledge of AWS services and cloud architecture patterns.
Proficiency in Java, Python, Node.js, and React.js.
Experience with containerization (Docker, Kubernetes), CI/CD pipelines, and Infrastructure as Code using Terraform, AWS CloudFormation, and AWS CDK.
Hands-on experience with BI tools and data visualization platforms.
Exposure to AI/ML concepts and practical implementation using AWS tools.
Proven ability to write production-grade code and lead by example.
#LI-MM1
Daily Task Performed:
Architect and design cloud-native applications using AWS services such as EC2, Lambda, S3, RDS, DynamoDB, ECS, EKS, and more.
Write clean, efficient, and maintainable code in Java, Python, Node.js, and React.js to prototype and implement core architectural components.
Define and document architecture standards, best practices, and guidelines.
Collaborate with engineering teams to ensure alignment with architectural vision and scalability goals.
Lead the migration of legacy systems to AWS cloud infrastructure.
Design and implement CI/CD pipelines using Terraform, AWS CloudFormation, and AWS CDK.
Integrate data analysis and visualization tools (e.g., Amazon QuickSight, Power BI, Tableau) into cloud solutions.
Position Success Criteria (Desired) - 'WANTS'
Bachelors or Masters degree in Computer Science, Engineering, or related field.
10+ years of software development experience, with 4+ years in cloud architecture (AWS).
Strong knowledge of AWS services and cloud architecture patterns.
Proficiency in Java, Python, Node.js, and React.js.
Experience with containerization (Docker, Kubernetes), CI/CD pipelines, and Infrastructure as Code using Terraform, AWS CloudFormation, and AWS CDK.
Hands-on experience with BI tools and data visualization platforms.
Exposure to AI/ML concepts and practical implementation using AWS tools.
Proven ability to write production-grade code and lead by example.
#LI-MM1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.