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MAGAZZINIERE APPARTENENTE ALLE CATEGORIE PROTETTE L68/99
NaturaSi
AWS Data Engineer
Job summary
Un leader globale nel settore IT cerca un AWS Data Engineer. Sarai responsabile di progetti sulla piattaforma AWS, implementando pratiche migliori e strategie per la migrazione. Si richiedono almeno 5 anni di esperienza in ambiente cloud, competenze in Big Data, Docker, Kubernetes e programmazione in linguaggi come Java e Python. Offriamo un ambiente di lavoro che valorizza il talento e il benessere dei dipendenti.
Qualifications
- Minimo 5 anni di esperienza su AWS in un ambiente cloud.
- Esperienza nella migrazione di workload da on-premise a cloud.
- Esperienza nella programmazione con Java, Scala e Python.
Responsibilities
- Lavorare su progetti AWS Data Platform.
- Implementare la pipeline CI/CD usando l'AWS CI/CD stack.
- Stabilire strategie per la capacità del servizio.
Skills
Education
Tools
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!
- 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.
- 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 (, 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
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.