AWS Data Engineer

NTT DATA Europe & Latam; Pisa; On-site; EUR 45,000 - 70,000; Full time

Job summary

Un'azienda leader nel settore IT cerca un AWS Data Engineer da inserire nel team di Data Intelligence. Sarai responsabile di lavorare su progetti della piattaforma dati AWS, gestendo l'acquisizione e la trasformazione dei dati. È richiesta un'esperienza consolidata con AWS, conoscenze in Docker e Kubernetes, e capacità di monitoring. La posizione è aperta in diverse città italiane, tra cui Pisa, e offre opportunità per contribuire a progetti innovativi.

Qualifications

• Almeno 5 anni di esperienza in AWS.
• Esperienza con architetture Big Data, cloud e on-premise.
• Esperienza nel monitoraggio di infrastrutture distribuite.

Responsibilities

• Lavorare su progetti AWS Data Platform.
• Definire e documentare strategie di distribuzione delle applicazioni.
• Implementare pipeline CI/CD utilizzando AWS.

Skills

Esperienza in AWS

Conoscenza di Docker e Kubernetes

Nozioni di best practices di sicurezza

Esperienza con Java, Scala, Python

Education

Certificazione AWS Solutions Architect o Developer

Tools

CloudWatch

Prometheus

ELK stack

Job description

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 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.

Qualifications

• 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

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