Attiva gli avvisi di lavoro via e-mail!

AWS - Data Architect

TN Italy

Milano

In loco

EUR 50.000 - 90.000

Tempo pieno

4 giorni fa
Candidati tra i primi

Aumenta le tue possibilità di ottenere un colloquio

Crea un curriculum personalizzato per un lavoro specifico per avere più probabilità di riuscita.

Descrizione del lavoro

An innovative company is seeking an AWS Data Architect to support customers in AWS Data Platform projects. This role involves designing optimal data pipeline architectures, optimizing data models, and mentoring other engineers. You will bridge Data Science and Data Engineering, working closely with business analysts and solution architects to meet client needs. Join a dynamic team that values collaboration and creativity, and make a significant impact on large-scale data projects across various locations in Italy. If you're passionate about cloud technologies and data solutions, this opportunity is perfect for you.

Competenze

  • 5+ years of experience in AWS with cloud-native environments.
  • Proficiency with AWS storage and compute services.
  • Experience in building proofs-of-concept for business needs.

Mansioni

  • Design and implement data ingestion solutions on AWS.
  • Optimize data models and conduct performance engineering.
  • Mentor engineers in coding best practices.

Conoscenze

AWS
Data Architecture
Java
Python
Scala
SQL
Agile methodologies
Cloud-native environments
Big Data Architectures

Strumenti

AWS GLUE
AWS Lambda
Talend
Informatica
Apache Spark
AWS CodeCommit
GitHub

Descrizione del lavoro

Social network you want to login/join with:

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 who can bridge Data Science and Data Engineering, with a clear understanding of both domains.

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 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 a production environment.
  • Participate in client design workshops and provide tradeoffs and recommendations for building solutions.
  • Mentor other engineers in coding best practices and problem-solving.

Required Skills:

  • Experience in a cloud-native environment in one of the three major public clouds (GCP, AWS, Azure); at least 5 years of experience on AWS is preferred.
  • Knowledge of Big Data Architectures, both cloud and on-premise.
  • Experience with AWS infrastructure and networking.
  • Proficiency with AWS storage services: S3, RDS, Redshift, DynamoDB.
  • Proficiency with AWS compute services: EC2, Lambda, ECS, EKS.
  • Experience in building and delivering proofs-of-concept to address specific business needs using appropriate techniques, data sources, and technologies.
  • Experience migrating workloads from on-premise to cloud environments.
  • Experience monitoring distributed infrastructure using AWS tools or open-source solutions like CloudWatch, Prometheus, and ELK stack.
  • Proven experience with Java, Scala, Python, and shell scripting.
  • Experience with Apache Spark, Databricks, Azure Data Factory, Azure Synapse, and other Azure ETL/ELT tools.
  • AWS Certifications such as AWS Certified Solutions Architect and/or AWS Certified Data Analytics.
  • Experience working with Agile methodologies and Kanban.
  • Knowledge of SQL.
  • Experience with source code management tools like AWS CodeCommit or GitHub.

Job Locations: Bologna, Roma, Milano, Torino, Bari, Cosenza, Napoli, Treviso, Pisa, and Salerno.

Ottieni la revisione del curriculum gratis e riservata.
oppure trascina qui un file PDF, DOC, DOCX, ODT o PAGES di non oltre 5 MB.