AWS - Data Architect

Applicable Limited; Milano; In loco; EUR 50.000 - 80.000; Tempo pieno

Descrizione del lavoro

Una importante azienda di servizi IT sta cercando un AWS Data Architect. Il candidato supporterà i clienti in progetti di Data Platform, richiedendo conoscenze sia in Data Science che in Data Engineering, ed avrà il compito di creare soluzioni di ingestione dati, ottimizzare modelli e lavorare con grandi volumi di dati.

Competenze

• Minimo 5 anni di esperienza in AWS, conoscenze delle architetture Big Data.
• Esperienza nella migrazione di carichi di lavoro nel cloud.
• Provenienza in Java, Scala, Python e scripting di shell.

Mansioni

• Creare e mantenere architetture di dati ottimali su AWS.
• Progettare e ottimizzare modelli di dati utilizzando AWS data stores.
• Mentorare altri ingegneri in pratiche di coding.

Conoscenze

Cloud native environment

Big Data Architectures

AWS infrastructure

Data Management

SQL

Agile Methodology

Java

Python

Shell scripting

Formazione

AWS Certification

Strumenti

AWS

Apache Spark

Databricks

Azure Data Factory

GitHub

Descrizione del lavoro

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!

Responsibilities

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

Your role as an AWS Data Architect in NTT Data will be supporting customers in AWS Data Platform projects, working in partnership with business analysts and solution architects to understand use cases, data needs, and outcome objectives.

We are looking for an engineer that can be the bridge between Data Science and Data Engineering, having a clear understanding of both worlds.

Responsibilities:

• Create and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services (suchas GLUE, Lambda) or using data management technologies (such as Talend or Informatica)
• Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, DynamoDB, RDS, S3
• Design operations architecture and conduct performance engineering for large scale data lakes in production environment
• Participate in client design workshops and provide tradeoffs and recommendations towards building solutions.
• Mentor other engineers in coding best practices and problem solving

Required Skills

• Working experience in a cloud native environment in 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
• AWS infrastructure and networking working experience
• AWS Collection Services: Kinesis, Kafka, Database Migration Serviceù
• AWS main Storage Service: S3, RDS, Redshift, DynamoDB
• AWS main Compute Service: EC2, Lambda, ECS, EKS
• Experience in building and deliver proofs-of-concept, in order to address specific business needs, using the most appropriate techniques, data sources and technologies
• Working experience in migrating workloads from on premise to cloud environment
• Experience in monitoring distributed infrastructure, using AWS tools or open source ones 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: Apache Spark, Databricks, Azure Data Factory, Azure Synapse, and other Azure related ETL/ELT tools
• AWS Certification: AWS Certified Solutions Architect and/or AWS Certified Data Analytics
• Working experience with Agile Methodology and Kanban
• SQL language knowledge
• Experience working with source code management tools such as AWS CodeCommit or GitHub

Location: Bologna, Roma, Milano, Torino, Bari, Cosenza, Napoli, Treviso, Pisa e Salerno