AWS Data Platform Engineer: Data Pipelines & Cloud Infra

Ntt Data Italia; Napoli; On-site; EUR 65,000 - 90,000; Full time

Job summary

NTT Data is seeking an AWS Data Engineer to build and optimize data platforms on AWS, collaborating with analysts and solution architects. You will manage data acquisition, transformations, loading to data lakes, and monitoring architecture using CloudWatch, Prometheus, and the ELK stack.

The role emphasizes serverless work, security best practices, and migrations from on-premise to cloud, with a focus on scalable, highly available solutions and CI/CD automation.

Qualifications

• Must have cloud native experience; 5+ years on AWS preferred.
• Strong knowledge of Big Data architectures, cloud and on-premise integrations.
• Experience with Docker and Kubernetes; ECS/EKS a plus.
• Experience with serverless approaches using AWS Lambda and AWS services.
• Solid security practices (IAM, KMS, etc.) and networking experience.
• Proven scripting in Java, Scala, Python, and shell.
• Familiarity with Agile Methodology and Kanban; AWS certifications.
• Experience migrating workloads to cloud and monitoring distributed infra.

Responsibilities

• Understand use cases and data needs; define outcomes.
• Deliver data acquisition, transformations, cleansing, and loading into data lakes.
• Migrate infra with zero downtime to scalable, highly available setup.
• Set up monitoring stacks (CloudWatch, Prometheus, ELK).
• Define capacity planning strategies for services.
• Implement CI/CD pipelines using AWS tooling; write IaC with CloudFormation or similar.
• Collaborate with analysts and solution architects; ensure secure, scalable data platforms.

Skills

Cloud computing

Big data architectures

Java

Scala

Python

Shell scripting

Agile methodologies

Kanban

Security best practices

AWS certifications

Tools

Docker

Kubernetes

ECS/EKS

CloudWatch

Prometheus

ELK stack

Job description

NTT Data is seeking an AWS Data Engineer to build and optimize data platforms on AWS, collaborating with analysts and solution architects. You will manage data acquisition, transformations, loading to data lakes, and monitoring architecture using CloudWatch, Prometheus, and the ELK stack.

The role emphasizes serverless work, security best practices, and migrations from on-premise to cloud, with a focus on scalable, highly available solutions and CI/CD automation.