Your role as an AWS Data Engineer in NTT Data will be work on AWS Data Platform projects, working in partnership with business analysts and solution architects to understand use cases, data needs, and outcome objectives.
In this role, you will deliver data acquisition, transformations and improvement, cleansing, conversion, compression, and loading of data into data lakes in order to be consumed by analytics and machine learning models.
Contribution in this role
Understand the current application infrastructure and suggest changes to it
Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
Migrate our infrastructure with zero downtime to a highly available, scalable one.
Set up a monitoring stack such as CloudWatch, Prometheus, and the ELK stack.
Define service capacity planning strategies.
Implement the application's CI/CD pipeline using the AWS CI/CD stack.
Write infrastructure as code using CloudFormation or similar.
Ideal profile
Working experience in a cloud native environment in at least one of the 3 major public clouds (GCP, AWS,



Azure), at least 5 year experience on AWS is preferred
Experience and knowledge of Big Data Architectures, cloud and on premise
Experience with Docker and Kubernetes.
Having used ECS/EKS in the past is a plus
Experience with the serverless approaches using AWS Lambda
Strong notions of security best practices (e.g. using IAM Roles, KMS, etc.).
AWS infrastructure and networking working experience
Working experience in migrating workloads from on premise to cloud environment
Experience in monitoring distributed infrastructure, using AWS tools or open source ones such as CloudWatch, Prometheus, and the ELK stack
Proven experience in: Java, Scala, Python, and shell scripting
Working experience with Agile Methodology and Kanban
AWS Certification: AWS Certified Solutions Architect and/or AWS Certified Developer.
Location
Bari
Bologna
Cosenza
Milano
Napoli
Roma
Salerno
Torino
Treviso
Pisa
#J-*****-Ljbffr

📌 Aws Data Engineer (Lazio)
🏢 Ntt Data Europe & Latam
📍 Lazio