Digital Solution Architect

ph3Digital Solution Architect /h3 h3POSITION SNAPSHOT /h3 pType of work: Hybrid /p pType of contract: Open-ended/permanent /p pFull/Part Time: Full time /p pLocation: ROMA, IT /p h3ABOUT US /h3 pBridgestone 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. /p h3ABOUT THE ROLE /h3 pbJob Title /b /p pDigital Solution Architect /p pbAbout the Role /b /p pbJob purpose /b /p pThe 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. /p pThe 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. /p pThe 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. /p pThe 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. /p pThe professional ensures compliance with advised BSEMIA data management rules, security policies, tools, and technology stack. /p pThe 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. /p pbResponsibilities: /b /p ul liDesign, develop and deliver reliable modern data pipeline to support any data related projects /li liImplement Batch processes for data Ingestion, Processing and Transformations /li liImplement Streaming processes for data Ingestion, Processing and Transformations /li liServe and provide access to the final datasets to Data Science Team to enable Advanced Analytics /li liManage data and related metadata in Big Data Warehouse, Structured and/or Unstructured Data stores /li liDesign, Administer and Maintain Data Lake for Big Data Analytics /li liDesign, Develop and Deliver components for Data Integration and Extraction /li liOperates data pipelines and cloud resources in case of failures and bugfixes /li liDeployment, configuration and monitoring of the Cloud Data Platform infrastructure and services /li liWorks closely with Data Architect and Data Scientists /li liSupport ML and Predictive Models deployment in the cloud /li liFacilitates and orchestrates Cloud, IoT, Analytics use cases. /li liWorks in Agile teams to implement new PoC and MVP projects, prepares and runs demos as appropriate. /li liFamiliarities with Web Development technologies and best practices, with special reference to the Microsoft world. /li /ul pbQualifications Experience Required /b /p pbEducation, Master, other certification: /b /p pMaster’s Degree in Computer Science or equivalent. /p pbExperience (years): /b /p ul liMinimum 3 years of experience working on Big Data projects, using technologies like HDFS, Hadoop, Spark, Spark Streaming, Hive, HBase … /li liMinimum 3 years of experience developing Batch and Streaming data pipelines especially in Microsoft Azure and using Spark. /li /ul pbTechnical skills: /b /p ul liAdvanced 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. /li liBroad understanding and experience with software development best practices, cloud oriented architectures and OLTP/OLAP workloads. /li liAdvanced knowledge of SQL language and Spark for Big data transformation is a must. /li liKnowledge and experience in Serverless computing components development and with services like Azure Functions or AWS Lambda. /li liStrong understanding of data modeling, algorithms, and data transformation techniques and BI tools /li liStrong understanding of Big Data architecture and Data transformations patterns /li liStrong understanding of relational DB and Data Warehouses (such as SQL Server, Oracle, MySQL, Postgres or similar and/or Azure SQL database service) /li liGood understanding of non-relational DB (such MongoDB, Cassandra, or Azure CosmosDB, Azure Blob Containers) /li liFamiliarities 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. /li liGood understanding of IoT services and messaging technologies (such IoT Hub, Event Hub in Azure) /li liProficiency with Bash scripting and Infrastructure as a code using tools like Azure CLI, Azure Powershell, Azure Resource Manager (ARM) Templates /li liBasic understanding of Artificial Intelligence and Machine Learning methodologies and libraries /li liFamiliarity with containerization (such as Docker, Kubernetes) /li liExperience with common Code versioning and DevOps Pipeline tools such as Git and Azure DevOps. /li liUnderstanding and experience with object-oriented design and development. /li liTechnical understanding of current and emerging digital technologies and trends, such as artificial intelligence / machine learning, advanced computing platforms, edge computing, IoT devices/sensors. /li /ul pbSoft/Behavioral Skills: /b /p ul liUsed to working in multicultural environments. /li liAnalytical problem solving skills. /li liLogic thinking and team-working with strong communication skills. /li /ul pThe 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. /p h3WHAT WE OFFER /h3 pAt Bridgestone, what really matter is to foster co-creation opportunities and empowering you to be creative and curious to make mobility safer, more efficient, and more sustainable for future generations. Whatever role you fill, when you represent Bridgestone, you are a valued teammate, and part of our larger mission to “Serve Society with Superior Quality”, for that, we offer you more than just a competitive payment; we will provide you: /p ul liA supportive and engaging onboarding experience to ensure a smooth transition into our team. /li liThe opportunity to develop and grow, through training and regular mentorship. /li liCorporate Social Responsibility activities. /li liA truly global, dynamic and challenging work environment. /li liAgility and work/life effectiveness and your long‑term well‑being. /li liA diverse and inclusive team. /li /ul pWe are committed to create an even more inclusive culture that advances equity, embraces individuality, and helps our increasingly diverse teammates, customers, and communities thrive, by providing equal opportunities in employment. This means that all job applicants and members of staff will receive equal treatment and that we will not discriminate on grounds of gender, marital status, race, ethnicity, color, nationality, national origin, disability, sexual orientation, religion or age. /p /p #J-18808-Ljbffr