Hybrid AWS Data Engineer - Data Platform & Cloud Infra

Ntt Data; Puglia; Ibrido; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

NTT DATA is seeking an AWS Data Engineer to work on AWS Data Platform projects, collaborating with analysts and solution architects to meet data needs and outcomes. You will deliver data acquisition, transformations, cleansing, and loading into data lakes for analytics and ML models.

Responsibilities include defining deployment practices, migrating with zero downtime, and building CI/CD pipelines using AWS tools with IaC. Strong AWS, Docker, Kubernetes, and security expertise are required.

Competenze

• 5+ years of experience on AWS in a cloud native environment.
• Experience with Big Data architectures, cloud and on premise.
• Hands-on Docker and Kubernetes experience; ECS/EKS is a plus.
• Serverless approaches using AWS Lambda; strong security practices.
• Experience migrating workloads from on premise to cloud.
• Familiarity with monitoring via CloudWatch, Prometheus, ELK.
• AWS certifications such as AWS Certified Solutions Architect or Developer is a plus.
• Agile Methodology and Kanban experience.

Mansioni

• Understand current application infrastructure and propose changes.
• Define and document deployment and infrastructure maintenance practices.
• Migrate infrastructure with zero downtime to a highly available, scalable setup.
• Set up a monitoring stack with CloudWatch, Prometheus, and ELK.
• Define service capacity planning strategies.
• Implement CI/CD pipelines using AWS stack.
• Write infrastructure as code with CloudFormation or similar.

Conoscenze

AWS

Big Data

Docker

Kubernetes

CI/CD

Security best practices

Java

Python

Scala

CloudFormation

Strumenti

CloudFormation

ECS/EKS

CloudWatch

Prometheus

ELK Stack

IAM & KMS

Descrizione del lavoro

NTT DATA is seeking an AWS Data Engineer to work on AWS Data Platform projects, collaborating with analysts and solution architects to meet data needs and outcomes. You will deliver data acquisition, transformations, cleansing, and loading into data lakes for analytics and ML models.

Responsibilities include defining deployment practices, migrating with zero downtime, and building CI/CD pipelines using AWS tools with IaC. Strong AWS, Docker, Kubernetes, and security expertise are required.