AWS - Data Architect

NTT DATA BUSINESS SOLUTIONS; Bari; In loco; EUR 70.000 - 110.000; Tempo pieno

Descrizione del lavoro

NTT DATA BUSINESS SOLUTIONS in Italy seeks an AWS Data Architect to support customers in AWS Data Platform projects, partnering with business analysts and solution architects to understand use cases, data needs, and outcome objectives.

You will bridge Data Science and Data Engineering, with hands-on experience in building data pipelines, data models on AWS, and guiding workshops.

Competenze

• 5+ years experience in cloud native environments, with a preference for AWS.
• Experience with Big Data architectures, cloud and on-premise.
• Proficient in AWS services: S3, RDS, Redshift, DynamoDB; EC2, Lambda, ECS, EKS.
• Knowledge of AWS data ingestion: Glue, Kinesis, Kafka, DMS.
• Experience with Spark, Databricks, and ETL/ELT tools.
• Proven ability to design data pipelines and data models on AWS.

Mansioni

• Create and maintain data pipeline architecture on AWS using native services or tools.
• Design and optimize data models on AWS data stores (S3, RDS, Redshift, DynamoDB).
• Design operations architecture and performance engineering for large data lakes.
• Participate in client design workshops and provide tradeoffs and recommendations.
• Mentor engineers in coding best practices and problem solving.

Descrizione del lavoro

Job Summary

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

Your contribution in this role:

• 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

Qualifications

The ideal profile

• 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 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