AWS Data Engineer — Cloud Data Platform & ML Ready

NTT DATA BUSINESS SOLUTIONS; Bari; In loco; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

NTT DATA BUSINESS SOLUTIONS in Bari, Italy, seeks an AWS Data Engineer to work on AWS Data Platform projects, collaborating with business analysts and solution architects to understand use cases, data needs, and outcome objectives. You will deliver data acquisition, transformations and loading of data into data lakes for analytics and ML models.

Responsibilities include mapping current infrastructure, defining deployment strategies, migrating to a highly available cloud setup with zero downtime,

Competenze

• Experience in cloud native environments (GCP/AWS/Azure) with emphasis on AWS (5+ years).
• Strong background in Big Data architectures and data platform components.
• Experience with Docker and Kubernetes; ECS/EKS exposure is a plus.
• Serverless expertise with AWS Lambda and security best practices (IAM, KMS).

Mansioni

• Understand current app infrastructure and propose improvements.
• Define and document deployment and infrastructure maintenance best practices.
• Migrate infrastructure with zero downtime to a highly available, scalable setup.
• Set up monitoring using CloudWatch, Prometheus, and ELK stack.
• Define capacity planning strategies and CI/CD pipelines using AWS tools.
• Write infrastructure as code with CloudFormation or similar.
• Collaborate with analysts and solution architects to map data needs.

Conoscenze

AWS

Big Data

Docker

Kubernetes

ECS/EKS

Lambda

Java

Python

Security

Agile

Strumenti

CloudFormation

Prometheus

ELK stack

IAM/KMS

Descrizione del lavoro

NTT DATA BUSINESS SOLUTIONS in Bari, Italy, seeks an AWS Data Engineer to work on AWS Data Platform projects, collaborating with business analysts and solution architects to understand use cases, data needs, and outcome objectives. You will deliver data acquisition, transformations and loading of data into data lakes for analytics and ML models.

Responsibilities include mapping current infrastructure, defining deployment strategies, migrating to a highly available cloud setup with zero downtime,