Digital Solution Architect

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7a5uhe

ph3About Us /h3pBridgestone Americas, Inc. (BSAM), headquartered in Nashville, Tennessee, and Bridgestone Europe, Middle East and Africa (BSEMEA), headquartered in Brussels, Belgium, operate collectively as a “Bridgestone West” strategic region. This region services the strategic business needs of teams across the Americas, Europe, Middle East and Africa. BSAM and BSEMEA are subsidiaries of Bridgestone Corporation, globally headquartered in Japan. Bridgestone and its subsidiaries develop, manufacture and market a wide range of Bridgestone, Firestone and associate brand products and solutions to address the needs of a broad range of customers and industries. /ph3Position Snapshot /h3pJob Title: Digital Solution Architectbr/Location: ROMA, ITbr/Type of work: Hybridbr/Type of contract: Open-ended/permanentbr/Full/Tempo parziale: Full time /ph3About The Role /h3pThe 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 RD 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. /ph3Responsibilities /h3ulliDesign, develop and deliver reliable modern data pipeline to support any data related projects /liliImplement Batch processes for data ingestion, processing and transformations /liliImplement Streaming processes for data ingestion, processing and transformations /liliServe and provide access to the final datasets to Data Science Team to enable Advanced Analytics /liliManage data and related metadata in Big Data Warehouse,



Structured and/or Unstructured Data stores /liliDesign, administer and maintain data lake for big data analytics /liliDesign, develop and deliver components for data integration and extraction /liliOperate data pipelines and cloud resources in case of failures and bug fixes /liliDeployment, configuration and monitoring of the Cloud Data Platform infrastructure and services /liliWork closely with Data Architect and Data Scientists /liliSupport ML and predictive models deployment in the cloud /liliFacilitate and orchestrate Cloud, IoT, analytics use cases /liliWork in Agile teams to implement new PoC and MVP projects, prepare and run demos as appropriate /liliFamiliarity with Web Development technologies and best practices, with special reference to the Microsoft world /li /ulh3Qualifications Experience Required /h3pEducation: Master’s Degree in Computer Science or equivalent /ppExperience: minimum 3 years of experience working on Big Data projects using technologies such as 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. /ph3Technical Skills /h3ulliAdvanced experience with IaaS and PaaS in Azure, particularly Azure Data Factory, Azure Databricks, Azure Data Lake Store, Azure SQL Database, Azure HDInsight; AWS knowledge is a nice to have /liliBroad understanding and experience with software development best practices, cloud‑oriented architectures and OLTP/OLAP workloads /liliAdvanced knowledge of SQL and Spark for big data transformation is a must /liliKnowledge and experience in serverless computing components and services such as Azure Functions or AWS Lambda /liliStrong understanding of data modeling, algorithms, data transformation techniques and BI tools /liliStrong understanding of big data architecture and data transformation patterns /liliStrong understanding of relational databases and data warehouses (e.g., SQL Server, Oracle, MySQL, Postgres, Azure SQL Database) /liliGood understanding of non‑relational databases (e.g., MongoDB, Cassandra, Azure Cosmos DB, Azure Blob Storage)



/liliFamiliarity with Web Development technologies, APIs, and web services and the Microsoft stack: Azure App Service, Azure SQL Database, Microsoft SQL Server, T‑SQL, ASP.NET, C# /liliGood understanding of IoT services and messaging technologies (e.g., IoT Hub, Event Hub in Azure) /liliProficiency with Bash scripting and infrastructure‑as‑code tools such as Azure CLI, Azure PowerShell, ARM Templates /liliProficiency with languages such as Scala, C#, Python, Java, JavaScript /liliBasic understanding of AI and machine learning methodologies and libraries /liliFamiliarity with containerization (e.g., Docker, Kubernetes) /liliExperience with version control and DevOps pipeline tools such as Git and Azure DevOps /liliUnderstanding and experience with object‑oriented design and development /liliTechnical understanding of current and emerging digital technologies and trends, such as artificial intelligence/machine learning, advanced computing platforms, edge computing, IoT devices/sensors /li /ulh3Languages Skills /h3pFluent in English /ph3Soft/Behavioral Skills /h3ulliExperience working in multicultural environments /liliAnalytical and problem‑solving skills /liliLogical thinking and strong communication skills in team settings /li /ulh3Salary /h3pSalary range: € 41,155.92 - 77,000 (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.) /ph3What We Offer /h3ulliA supportive and engaging onboarding experience to ensure a smooth transition into our team /liliThe opportunity to develop and grow, through training and mentorship /liliCorporate Social Responsibility activities /liliA truly global, dynamic and challenging work environment /liliAgility and work/life balance and your long‑term well‑being /liliA diverse and inclusive team /li /ulh3Equal Employment Opportunity Notice /h3pWe are committed to creating an inclusive culture that advances equity, embraces individuality, and helps our increasingly diverse teammates, customers, and communities thrive, by providing equal opportunities in employment. All job applicants and staff will receive equal treatment and we will not discriminate on the grounds of gender, marital status, race, ethnicity, color, nationality, national origin, disability, sexual orientation, religion or age. /ppExplore Our Career Site /p /p #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7a5uhe