Digital Solution Architect

Bridgestone; Lazio; In loco; EUR 41.000 - 77.000; Tempo pieno

Descrizione del lavoro

Bridgestone sta cercando un Digital Solution Architect per guidare progetti di data engineering nel Digital Lab. Si occuperà di progettare e implementare data pipeline moderne, integrando diverse fonti dati e abilitando casi di Advanced Data Analytics.

Il candidato ideale ha esperienza in Azure, Spark e architetture Big Data, con attenzione a sicurezza, governance e pratiche DevOps. Ruolo a tempo pieno in ambiente internazionale e dinamico.

Competenze

• Master’s Degree in Computer Science or equivalent.
• ≥3 anni di esperienza in progetti Big Data (HDFS, Hadoop, Spark, Spark Streaming, Hive, HBase).
• ≥3 anni di sviluppo pipeline Batch e Streaming in Microsoft Azure con Spark.
• Conoscenza avanzata dei servizi dati Azure (Data Factory, Databricks, Data Lake, SQL, HDInsight).
• Forti conoscenze di SQL e Spark per trasformazioni Big Data.
• Conoscenza di Docker/Kubernetes e architetture cloud-native.

Mansioni

• Progettare, sviluppare e consegnare data pipeline moderne e affidabili.
• Implementare batch per ingestion, elaborazione e trasformazione dati.
• Implementare streaming per ingestion, elaborazione e trasformazione dati.
• Mettere a disposizione dataset finali al Data Science Team per analytics avanzati.
• Gestire dati e metadati in Data Warehouse e data stores strutturati/non strutturati.
• Progettare e mantenere Data Lake per Big Data Analytics.
• Collaborare con Data Architect e Data Scientists.
• Supportare deployment ML e modelli in cloud.

Conoscenze

Fluent in English

Analytical & problem solving

Team working

Multicultural environment

Logic thinking

Strong communication skills

Formazione

Master’s Degree in Computer Science or equivalent

Strumenti

Azure Data Factory

Azure Databricks

Azure Data Lake Store

Azure SQL Database

Azure HDInsight

Azure Functions

AWS Lambda

Spark

SQL

Docker

Kubernetes

Descrizione del lavoro

Descrizione dell’offerta di lavoro

Job TitleDigital Solution Architect

About the RoleJob purpose

The Data Engineer is accountable for the design, implementation and release from an IT perspective of modern data applications and pipelines of running projects as well as new initiatives in the context of the Digital Lab. The professional will be responsible to build integrations with external data systems, to enable data collection from a wide variety of data sources, to transform and combine properly these data in order to enable Advanced Data Analytics use cases. The professional will also be responsible to deploy, manage and maintain the data platform in the Cloud that is the backbone for any data related project of the organization. The professional will work closely with Business and R&D departments as IT function will orchestrate and facilitate Cloud, IoT and Big Data projects following the Enterprise Architect guidance and collaborate with others IT Enterprise functions. The professional ensures compliance with advised BSEMIA data management rules, security policies, tools, and technology stack. The professional has experience with Agile frameworks and Strategic mind set with hands‑on mentality, creative / out‑of‑the‑box, flexible / courageous, showing ownership and agility.

Responsibilities

• Design, develop and deliver reliable modern data pipeline to support any data related projects


• Implement Batch processes for data Ingestion, Processing and Transformations


• Implement Streaming processes for data Ingestion, Processing and Transformations


• Serve and provide access to the final datasets to Data Science Team to enable Advanced Analytics


• Manage data and related metadata in Big Data Warehouse, Structured and/or Unstructured Data stores


• Design, Administer and Maintain Data Lake for Big Data Analytics


• Design, Develop and Deliver components for Data Integration and Extraction


• Operates data pipelines and cloud resources in case of failures and bugfixes


• Deployment, configuration and monitoring of the Cloud Data Platform infrastructure and services


• Works closely with Data Architect and Data Scientists


• Support ML and Predictive Models deployment in the cloud


• Facilitates and orchestrates Cloud, IoT, Analytics use cases


• Works in Agile teams to implement new PoC and MVP projects, prepares and runs demos as appropriate


• Familiarities with Web Development technologies and best practices, with special reference to the Microsoft world.

Qualifications & Experience Required

• Education, Master, other certification: Master’s Degree in Computer Science or equivalent


• Experience (years): Minimum 3 years of experience working on Big Data projects, using technologies like HDFS, Hadoop, Spark, Spark Streaming, Hive, HBase …


• Minimum 3 years of experience developing Batch and Streaming data pipelines especially in Microsoft Azure and using Spark


• Technical skills: Advanced experience with IaaS and PaaS in Azure especially using Azure data services like Azure Data Factories, Azure Databricks, Azure Data Lake Store, Azure SQL database, Azure HDInsight. AWS knowledge is a nice to have.


• Broad understanding and experience with software development best practices, cloud oriented architectures and OLTP/OLAP workloads.


• Advanced knowledge of SQL language and Spark for Big data transformation is a must.


• Knowledge and experience in Serverless computing components development and with services like Azure Functions or AWS Lambda.


• Strong understanding of data modeling, algorithms, and data transformation techniques and BI tools


• Strong understanding of Big Data architecture and Data transformations patterns


• Strong understanding of relational DB and Data Warehouses (such as SQL Server, Oracle, MySQL, Postgres or similar and/or Azure SQL database service)


• Good understanding of non‑relational DB (such MongoDB, Cassandra, or Azure CosmosDB, Azure Blob Containers)


• Familiarities with Web Development technologies, APIs, and web services and related Microsoft stack: Azure App Service, Azure SQL Database, Microsoft SQL Server and T‑SQL language, ASP.NET, C# language.


• Good understanding of IoT services and messaging technologies (such IoT Hub, Event Hub in Azure)


• Proficiency with Bash scripting and Infrastructure as a code using tools like Azure CLI, Azure Powershell, Azure Resource Manager (ARM) Templates


• Proficiency with some but not necessarily all the following languages: Scala, C#, Python, Java and Javascript


• Basic understanding of Artificial Intelligence and Machine Learning methodologies and libraries


• Familiarity with containerization (such as Docker, Kubernetes)


• Experience with common Code versioning and DevOps Pipeline tools such as Git and Azure DevOps.


• Understanding and experience with object‑oriented design and development.


• Technical understanding of current and emerging digital technologies and trends, such as artificial intelligence / machine learning, advanced computing platforms, edge computing, IoT devices/sensors.


• Languages skills: Fluent in English


• Soft/Behavioral Skills: Used to working in multicultural environments. Analytical & problem solving skills. Logic thinking and team-working with strong communication skills.

Salary range: 41,155.92 - 77,000

The salary range is based on gender-neutral criteria: applicable CCNL requirements, responsibilities, working conditions and market benchmarks for the role and location. Final compensation will be determined based on gender-neutral criteria: experience, skills, and internal equity.