Sharp Decisions
Overview
A client of Sharp Decisions is looking for a Data Engineer. This role is
ONSITE
in Torrance, CA- a multi-year contract with no end date,
W2 only. Responsibilities
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
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A client of Sharp Decisions is looking for a Data Engineer. This role is
ONSITE
in Torrance, CA- a multi-year contract with no end date,
W2 only. Responsibilities
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
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