AWS - Data Architect

1 week ago Be among the first 25 applicants 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 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 (such as 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 Service 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 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 NTT DATA recruiters will never ask job seekers and candidates for payment or banking information during the recruitment process. Please remain vigilant of third parties that may impersonate NTT DATA recruiters. All email communications from an NTT DATA recruiter will be associated with an @ email address. If you suspect any fraudulent activity, please report it to the appropriate channels. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at NTT DATA Europe & Latam by 2x Get notified about new Data Architect jobs in Turin, Piedmont, Italy . We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr