06 ott - Bardi
Ntt Data
Overview
As an AWS Data Engineer at NTT DATA, you will shape data platforms by acquiring, transforming and loading data into data lakes for analytics and model consumption.
You will collaborate with business analysts and solution architects to understand use cases and objectives, and drive scalable, secure cloud infrastructure improvements.
The role emphasizes migrating to highly available architectures, implementing monitoring and CI/CD pipelines, and applying best practices for deployment and maintenance.
This is a hybrid role offering global collaboration and opportunities to impact data-driven decision making.
Responsabilità
Data acquisition, transformation, cleansing, and loading into data lakes for analytics/ML
Assess and propose changes to current application infrastructure
Define and document deployment and maintenance best practices
Migrate infrastructure with zero downtime to highly available, scalable systems
Set up monitoring with CloudWatch, Prometheus, and ELK stack
Define service capacity planning strategies
Implement CI/CD pipelines using AWS tools
Write infrastructure as code (CloudFormation or equivalent)
Requisiti fondamentali
Cloud native experience in at least one major public cloud (AWS, GCP, Azure)
At least 5 years of AWS experience
Big Data architectures knowledge (cloud and on-prem)
Docker and Kubernetes experience; ECS/EKS is a plus
Serverless experience with AWS Lambda
Strong security practices (IAM Roles, KMS)
AWS infrastructure and networking experience
Experience migrating workloads from on-prem to cloud
Experience monitoring distributed infrastructure (CloudWatch, Prometheus, ELK)
Proven programming skills in Java, Scala, Python, and shell scripting
Agile/Kanban experience
AWS Certifications (Solutions Architect and/or Developer)
Cross-functional collaboration
Adaptability
Problem solving
AWS (infrastructure, networking, Lambda)
ECS/EKS
CloudFormation or IaC
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