Cloud Data Solution Architect (Hybrid)

Bridgestone EMEA; Roma; Ibrido; EUR 41.156 - 77.000; Tempo pieno

Vantaggi offerti da questo lavoro

Onboarding program

Training & mentorship

CSR activities

Descrizione del lavoro

Bridgestone EMEA is seeking a Data Engineer to design, build and deploy modern data applications and pipelines. You will integrate diverse data sources, transform data, and deploy a cloud-based data platform to support advanced analytics. You will collaborate with Business and R&D teams and ensure data management compliance.

The role requires hands-on experience with Azure data services, Spark, and big data architectures in a hybrid IT environment, with a proactive, agile mindset.

Competenze

• Master’s degree in Computer Science or equivalent.

Mansioni

• Design, develop and deliver reliable modern data pipelines to support data projects.
• Implement batch data ingestion, processing and transformations.
• Implement streaming data ingestion, processing and transformations.
• Provide access to final datasets to Data Science Team for analytics.
• Manage data and metadata in Big Data Warehouse and data lakes.
• Design and maintain data lake for analytics.
• Develop components for data integration and extraction.
• Operate cloud resources and pipelines, handle failures and fixes.

Conoscenze

Analytical thinking

Problem solving

Team collaboration

Fluent English

Formazione

Master’s degree in Computer Science

Strumenti

Azure Data Factory

Azure Databricks

Azure Data Lake Store

Azure SQL Database

Azure HDInsight

Spark

Hadoop

SQL

MongoDB

Kubernetes

Azure CLI

Python

Scala

Descrizione del lavoro

Bridgestone EMEA is seeking a Data Engineer to design, build and deploy modern data applications and pipelines. You will integrate diverse data sources, transform data, and deploy a cloud-based data platform to support advanced analytics. You will collaborate with Business and R&D teams and ensure data management compliance.

The role requires hands-on experience with Azure data services, Spark, and big data architectures in a hybrid IT environment, with a proactive, agile mindset.