Overview
Join to apply for the
Cloud Data Architect
role at
NTT DATA Europe & Latam
Your role as a Cloud Data Architect in NTT Data Gov & Tech will be supporting customers in Big Data 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.
The Cloud Data Architect in NTT Data Gov & Tech knows the challenges of a cloud native environment.
Is able to think outside the box finding innovative, yet simple, solutions to everyday issues, and share those solutions with the rest of his team.
We are looking for an engineer that can be the bridge between Data Science and Data Engineering, having a clear understanding of both worlds.
If you are a Data Scientist looking for more experience in preparing data, or a Data Engineer with interest also in Data Science, you can be a Cloud Data Architect in NTT Data Gov & Tech Business Intelligence Service Line, in an environment where Japanese and European cultural elements are intertwined.
Responsibilities
Support customers in Big Data projects, collaborating with business analysts and solution architects to understand use cases, data needs, and outcome objectives.
Deliver data acquisition, transformations and improvement, cleansing, conversion, compression, and loading of data into data lakes for analytics and machine learning consumption.
Identify innovative, practical cloud-native solutions and share them with the team.
Bridge between Data Science and Data Engineering with a clear understanding of both domains.
Contribute in environments where data preparation is part of the Cloud Data Architect role.
Required Skills
Working experience in a cloud native environment in at least one of the 3 major public clouds (GCP/AWS/Azure), 2 years experience on Azure is preferred
Experience and knowledge of Big Data Architectures, cloud and on premise
Azure infrastructure and networking working experience
Experience in building and deliver proofs-of-concept, 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 Azure tools or open source ones (e.g.: Grafana, Prometheus)
Proven experience in environments developed in: Java, Scala, Python, and shell scripting
SQL language knowledge
Working experience with Agile Methodology and Kanban
Working experience with: Apache Spark, Databricks, Azure Data Factory, Azure Synapse, and other Azure related ETL/ELT tools
Cloud Certification: Azure Data Engineer Associate or Azure Solutions Architect Expert or equivalent in other Cloud Providers (AWS/Oracle/GCP)
Other Big Data certifications welcome (e.g., Cloudera, Databricks)
Experience with non-Azure ETL/ELT solutions (Talend, Oracle Data Integrator, Informatica PowerCenter, etc.)
Experience with Data Visualization solutions (PowerBI, Qlik, Tableau, etc.)
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Seniority level
Entry level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
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