AWS Data Engineer

NTT DATA Europe & Latam; Roma; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

Una leading company nel campo dei servizi IT sta cercando un AWS Data Engineer per rafforzare il suo team in Italia. Il candidato ideale avrà una solida esperienza in ambienti cloud, in particolare AWS, e dovrà lavorare su progetti innovativi focalizzati su big data e machine learning. Questa posizione offre l'opportunità di contribuire a soluzioni all'avanguardia nel supporto della trasformazione digitale per vari clienti.

Competenze

• 5 anni di esperienza in ambienti cloud, preferibilmente su AWS.
• Esperienza con architetture Big Data, Docker e Kubernetes.
• Certificazioni AWS sono un plus.

Mansioni

• Lavorare su progetti della piattaforma AWS.
• Definire e documentare le migliori pratiche per il deployment delle applicazioni.
• Implementare pipeline CI/CD usando il stack AWS.

Conoscenze

Big Data Architectures

Docker

Kubernetes

AWS Lambda

Security best practices

Java

Scala

Python

Shell scripting

Agile Methodology

Formazione

AWS Certified Solutions Architect

AWS Certified Developer

Descrizione del lavoro

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NTT DATA, Trusted Global Innovator, è tra i principali player a livello mondiale in ambito IT services.

Con più di 140.000 professionisti in oltre 50 Paesi in tutto il mondo, siamo protagonisti e acceleratori della trasformazione digitale offrendo ai nostri clienti soluzioni tecnologiche e innovative progettate su misura.

Il motore di NTTDATA sono le persone, ognuna con la propria unicità, talento ed attitudine.

Abbiamo costruito una Smile Working Company in cui la cura, l’ascolto delle persone, il loro benessere e sviluppo delle competenze sono la nostra priorità. Abbiamo creato spazi di lavoro che favoriscono il senso di comunità e lo scambio costruttivo di esperienze.

Guardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento!

www.nttdata.com/it

Responsibilities
For Data Intelligence Line NTT DATA is looking for an AWS Data Engineer.
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

• 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.

Required Skills

• 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

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting

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