AWS Data Engineer: Build Data Lakes & ML Pipelines

NTT America, Inc.; Gent; Sur place; EUR 90 000 - 120 000; Plein temps

Résumé du poste

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

You will contribute by improving infrastructure, documenting best practices, migrating to a scalable setup, and establishing monitoring with CloudWatch, Prometheus, and ELK.

Qualifications

• 5+ years of experience in AWS and cloud data architectures.
• Experience with Docker and Kubernetes including ECS/EKS is a plus.
• Experience with serverless AWS Lambda and security best practices.

Responsabilités

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

Connaissances

AWS

Big Data Architectures

Python

Java

Scala

Shell scripting

CI/CD

Agile Methodology

Security best practices

Cloud infrastructure

Outils

Docker

Kubernetes

ECS/EKS

CloudWatch

Prometheus

ELK stack

CloudFormation

IAM

KMS

Description du poste

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

You will contribute by improving infrastructure, documenting best practices, migrating to a scalable setup, and establishing monitoring with CloudWatch, Prometheus, and ELK.